Thomas Bäck
Hoogleraar Natural computing
- Naam
- Prof.dr. T.H.W. Bäck
- Telefoon
- +31 71 527 7108
- t.h.w.baeck@liacs.leidenuniv.nl
- ORCID iD
- 0000-0001-6768-1478
Thomas Bäck (Fellow, IEEE) behaalde zijn diploma in computerwetenschappen in 1990 en zijn Ph.D. in computerwetenschappen in 1994, beide aan de universiteit van Dortmund, Duitsland. Hij is hoogleraar computerwetenschappen aan het Leiden Institute of Advanced Computer Science (LIACS), Universiteit Leiden, Nederland. Daarnaast is hij lid van het interdisciplinaire onderzoeksprogramma Society, Artificial Intelligence and Life Sciences (SAILS). Zijn onderzoeksinteresses omvatten evolutionaire computation, machine learning, en hun toepassingen in de echte wereld, met name in duurzame slimme industrie en de gezondheidszorg. Meer informatie over Thomas Bäck op zijn Engelstalige profielpagina.
Promovendi
Nieuws
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Betere scheepsontwerpen dankzij slimme algoritmes -
Grootste onderzoeksproject naar duurzame productie van waterstof van start -
Slagaderverkalking en medicijnontdekking: deze twee jonge onderzoekers wonnen een Krijn Rietveld Award voor innovatief onderzoek -
AI-Lab van start voor effectief en verantwoord toezicht -
Thomas Bäck benoemd tot IEEE Fellow -
Quantum Leiden brengt quantum-toekomst dichterbij -
AI in haven- en maritiem onderzoek in Leiden, Delft en Rotterdam -
PROACT-project verbetert de beveiliging van Internet of Things apparaten -
Zeven Leidse hoogleraren nieuw lid KNAW -
TEMPORAL project helpt het gehoor van doven te verbeteren -
Techniek uit nieuwe auto’s helpt bij operatieselectie Parkinson -
LIACS onderdeel van Europees consortium om industriële quantum computing te stimuleren -
Hora Est via de computer: zo verliep de eerste volledig digitale promotie in Leiden -
Zwaartekracht-subsidie voor vernieuwende blik op sociale en ethische uitdagingen van nieuwe technologie -
Algoritme Data Science-student ontwerpt beste schip in minder tijd -
Promoveren op onderzoek in een industrieel productieproces -
Onverwachte data zijn goed voor je business -
Leiden in de prijzen voor computational intelligence -
Thomas Bäck geeft Cleveringa lecture in Calgary, Canada -
Thomas Bäck wint IEEE Award -
Miljoen voor onderzoek naar beter staal -
Handbook of Natural Computing
Oud-promovendi
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Samineh Bagheri -
Koen van der Blom
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Ron Breukelaar
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Martina Echtenbruck
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Ramin Etemadi Idgahi
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Daniel Gaida
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Theodoros Georgiou
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Alexander Hagg
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Ingo Matthias Heinle
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Marios Kefalas
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Nataša Kieft
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Milan Koch
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Patrick Koch
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Jiawen Kong
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Johannes Willem Kruisselbrink
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Rui Li
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Hugo Manuel Proença
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Asep Maulana
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Dirk Meijer
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Charles Moussa
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Edgar Julius Jeronimus Reehuis
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Ofer Michael Shir
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Andrea Skolik
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Mozhan Soltani
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Bas van Stein
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Mohammed Tleis
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Sibghat Ullah
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Yali Wang
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Hao Wang
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Kaifeng Yang
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Zhiwei Yang
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Sheir Yarkoni
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Thiago de Jesus de Araujo Rio
Externe promovendi
Hoogleraar Natural computing
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- Winter R. de, Milatz B., Blank J., Stein N. van, Bäck T.H.W. & Deb K. (2024), Parallel multi-objective optimization for expensive and inexpensive objectives and constraints, Swarm and Evolutionary Computation 86: 101508.
- Patel Y.J., Jerbi S., Bäck T.H.W. & Dunjko V. (2024), Reinforcement learning assisted recursive QAOA, EPJ Quantum Technology (11): 6.
- Nobel J.P. de, Ye F., Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2024), IOHexperimenter: benchmarking platform for Iterative Optimization Heuristics, Evolutionary Computation 32(3): 205-210.
- Nobel J.P. de, Martens S.S.M., Briaire J.J., Bäck T.H.W., Kononova A.V. & Frijns J.H.M. (2024), Biophysics-inspired spike rate adaptation for computationally efficient phenomenological nerve modeling, Hearing Research 447: 109011.
- Trienens D., Schöppner V., Krause P., Bäck T.H.W., Tsi-Nda L.S. & Budde F. (2024), Method development for the prediction of melt quality in the extrusion process, Polymers 16(9): 1197.
- Nobel J.P. de, Kononova A.V., Briaire J.J., Frijns J.H.M. & Bäck T.H.W. (2023), Optimizing stimulus energy for cochlear implants with a machine learning model of the auditory nerve, Hearing Research 432: 108741.
- Kalkreuth R.T., Vasicek Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), General Boolean function benchmark suite, FOGA '23: proceedings of the 17th ACM/SIGEVO conference on foundations of genetic algorithms. FOGA '23: Foundations of Genetic Algorithms XVII 30 augustus 2023 - 1 september 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 84-95.
- Vermetten D.L., Caraffini F., Kononova A.V. & Bäck T.H.W. (2023), Modular differential evolution, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 864–872.
- Kalkreuth R.T., Vašíček Z., Husa J., Vermetten D.L., Ye F. & Bäck T.H.W. (2023), Towards a general boolean function benchmark suite, GECCO '23: proceedings of the Genetic and Evolutionary Computation Conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York, N.Y., U.S.A.: Association for Computer Machinery. 591-594.
- Thomaser A., Nobel J.P. de, Vermetten D.L., Ye F., Bäck T.H.W. & Kononova A.V. (2023), When to be discrete: analyzing algorithm performance on discretized continuous problems, GECCO '23: Proceedings of the genetic and evolutionary computation conference. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York: Association for Computer Machinery. 856-863.
- Brand S.O., Bäck T.H.W. & Laarman A.W. (2023), A decision diagram operation for reachability. Chechik M., Katoen J.P. & Leucker M. (red.), Formal methods: 25th International Symposium, FM 2023, Lübeck, Germany, March 6–10, 2023, Proceedings. International Symposium on Formal Methods, 2023 7 maart 2023 - 9 maart 2023. Lecture Notes in Computer Science nr. 14000. Cham: Springer. 514-532.
- Stein. N. van, Winter R. de, Bäck T.H.W. & Kononova A. V. (2023), AI for expensive optimization problems in industry, 2023 IEEE Conference on Artificial Intelligence (CAI). 2023 IEEE Conference on Artificial Intelligence 5 juni 2023 - 6 juni 2023: IEEE. 251-254.
- Lamers C.H.C.B., Vidal R., Belbachir N., Stein N. van, Bäck T.H.W. & Giampouras P. (2023), Clustering-based domain-incremental learning , Conference Proceedings 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2 oktober 2023 - 6 oktober 2023: IEEE Computer Society. 3376-3384.
- Pereverdieva K., Emmerich M.T.M., Deutz A.H. Ezendam T., Bäck T.H.W. & Hofmeyer H. (2023), The prism-net search space representation for multi-objective building spatial design. Emmerich M.T.M., Deutz A., Wang H., Kononova A.V., Naujoks B., Li K., Miettinen K. & Yevseyeva I. (red.), Evolutionary multi-criterion optimization: EMO 2023. Evolutionary Multi-Criterion Optimization (EMO) 2023 20 maart 2023 - 24 maart 2023. Lecture Notes in Computer Science nr. 13970. Cham: Springer. 476–489.
- Back T.H.W., Kononova A.V., Stein N. van, Wang H., Antonov K., Kalkreuth R.T., Nobel J.P. de, Vermetten D., Winter R. de & Ye F. (2023), Evolutionary algorithms for parameter optimization: thirty years later, Evolutionary Computation 31(2): 81-122.
- Thomaser A.M., Vogt M.E., Kononova A.V. & Bäck T.H.W. (2023), Transfer of multi-objectively tuned CMA-ES parameters to a vehicle dynamics problem. Emmerich M.T., Deutz A., Wang H., Kononova A.V., Naujoks B., Li K., Miettinen K. & Yevseyeva I. (red.), Evolutionary Multi-Criterion Optimization: EMO 2023. Evolutionary Multi-Criterion Optimization (EMO) 2023 20 maart 2023 - 24 maart 2023. Lecture Notes in Computer Science nr. 13970. Cham: Springer . 546–560.
- Thomaser A.M., Vogt M.E., Bäck T.H.W. & Kononova A.V. (2023), Real-world optimization benchmark from vehicle dynamics: specification of problems in 2D and methodology for transferring (meta-)optimized algorithm parameters. Stein N. van: Marcellini F., Lam H.K., Cottrell M. & Filipe J. (red.), 15th International Conference on Evolutionary Computation Theory and Applications. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023: SCITEPRESS - Science and Technology Publications. 31-40.
- Thomaser A.M., Vogt M.E., Bäck T.H.W. & Kononova A.V. (2023), Optimizing CMA-ES with CMA-ES. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (red.), 15th International Conference on Evolutionary Computation Theory and Applications. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023: SCITEPRESS - Science and Technology Publications. 214–221.
- Neumann F., Neumann A, Qian C., Viet Do A., Nobel J.P. de, Vermetten D.L., Ahouei S.S., Ye F., Wang H. & Bäck T.W.H. (2023), Benchmarking algorithms for submodular optimization problems using IOHProfiler, 2023 IEEE Congress on Evolutionary Computation (CEC). 2023 IEEE Congress on Evolutionary Computation (CEC) 1 juli 2023 - 5 juli 2023: Institute of Electrical and Electronics Engineers (IEEE). 972-981.
- Zeiser A., Özcan B., Kracke C., Stein N. van & Bäck T.H.W. (2023), A data-centric approach to anomaly detection in layer-based additive manufacturing, at - Automatisierungstechnik 71(1): 81-89.
- Zeiser A., Özcan B., Stein N. van & Bäck T.H.W. (2023), Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection, Computers in Industry 146: 103852.
- Stein N. van, Long F., Frenzel M., Krause P., Gitterle M. & Bäck T.H.W. (2023), DoE2Vec: deep-learning based features for exploratory landscape analysis, Proceedings of the Companion Conference on Genetic and Evolutionary Computation. GECCO '23 Companion: Companion Conference on Genetic and Evolutionary Computation 15 juli 2023 - 19 juli 2023. New York: Association for Computing Machinery. 515-518.
- Long F.X., Vermetten D, Kononova A.V., Kalkreuth R, Yang K., Bäck T.H.W. & Stein N. van (2023), Challenges of ELA-guided function evolution using genetic programming. Stein N. van, Marcelloni F., Lam H.K., Cottrell M. & Filipe J. (red.), Proceedings of the 15th international joint conference on computational intelligence ECTA. 15th International Joint Conference on Computational Intelligence - ECTA 13 november 2023 - 15 november 2023 nr. 1. Portugal: SciTePress. 119-130.
- Antonov K., Kononova A.V., Bäck T.H.W. & Stein N. van (2023), Curing ill-conditionality via representation-agnostic distance-driven perturbations, Proceedings of the 17th ACM/SIGEVO conference on foundations of genetic algorithms. FOGA '23: Foundations of Genetic Algorithms XVII 30 augustus 2023 - 1 september 2023. New York, NY, USA: Association for Computing Machinery. 15–26.
- Huang Q., Bäck T.H.W. & Stein N. van (2023), Application of functional kernel hypothesis testing for channel selection in time series classification, 2023 IEEE Conference on Artificial Intelligence (CAI). 2023 IEEE Conference on Artificial Intelligence 5 juni 2023 - 6 juni 2023: IEEE Computer Society. 245-247.
- Antonov K., Botari T., Tukker T., Bäck T.H.W., Stein N. van & Kononova A.V. (2023), New solutions to Cooke triplet problem via analysis of attraction basins. Kress B.C. & Czarske J.W. (red.), Proceedings SPIE 12624, Digital Optical Technologies 2023. SPIE Digital Optical Technologies 2023 25 juni 2023 - 29 juni 2023: SPIE. 126240T.
- Lamers C.H.C.B., Vidal R., Belbachir N., Stein N. van, Bäck T.H.W. & Paris G. (2023), Clustering-based domain-incremental learning, Proceedings of the IEEE/CVF international conference on computer vision (ICCV) workshops. 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2 oktober 2023 - 6 oktober 2023: IEEE Computer Society. 3384-3392.
- Li X., Groot M. de & Back T.H.W. (2023), Using forecasting to evaluate the impact of COVID‐19 on passenger air transport demand, Decision Sciences 54(4): 394-409.
- Bonet-Monroig X., Wang H., Vermetten D.L., Senjean B., Moussa C., Bäck T.H.W., Dunjko V. & O'Brien T.E. (2023), Performance comparison of optimization methods on variational quantum algorithms, Physical Review A 107(3): 032407.
- Wong A.S.W., Bäck T.H.W., Kononova A.V. & Plaat A. (2023), Deep multiagent reinforcement learning: challenges and directions, Artificial Intelligence Review 56: 5023-5056.
- Irawan D., Naujoks B., Bäck T.H.W. & Emmerich M.T.M. (2023), Dominance-based variable analysis for large-scale multi-objective problems, Natural computing 22: 243-257.
- Rijn S.J. van, Schmitt S., Leeuwen M. van & Bäck T.H.W. (2023), Finding efficient trade-offs in multi-fidelity response surface modelling, Engineering Optimization 55(6): 946-963.
- Tannemaat M.R., Kefalas M., Geraedts V.J., Remijn-Nelissen L., Verschuuren A.J.M., Koch M., Kononova A.V., Wang H. & Bäck T.H.W. (2023), Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach, Clinical Neurophysiology 146: 49-54.
- Zhang H., Sun J.Y., Bäck T.H.W., Zhang Q.F. & Xu Z.B. (2023), Controlling sequential hybrid evolutionary algorithm by Q-learning, IEEE Computational Intelligence Magazine 18(1): 84-103.
- Huang Q., Winter R. de, Stein N. van, Bäck T.H.W. & Kononova A.V. (2022), Multi-surrogate assisted efficient global optimization for discrete problems. Ishibuchi H., Kwoh C.K., Tan A.H., Srinivasan D, Miao C., Trivedi A. & Crockett K. (red.), 2022 IEEE Symposium Series on Computational Intelligence (SSCI). 2022 IEEE Symposium Series on Computational Intelligence (SSCI) 4 december 2022 - 7 december 2022: IEEE. 1650-1658.
- Wang Y., Limmer S., Nguyen D.V., Olhofer M., Bäck T.H.W. & Emmerich M.T.M. (2022), Optimizing the maintenance schedule for a vehicle fleet: a simulation-based case study, Engineering Optimization 54(7): 1258-1271.
- De Jesus de Araujo Rios T., Stein B. van, Bäck T.H.W., Sendhoff B. & Menzel S. (2022), Multi-task shape optimization using a 3D point cloud autoencoder as unified representation, IEEE Transactions on Evolutionary Computation 26(2): 206-217.
- Hanse G., Winter R. de, Stein B. van & Bäck T.H.W. (2022), Optimally weighted ensembles for efficient multi-objective optimization. Nicosia G., Ojha V., Malfa E. La, Malfa G. La, Jansen G., Pardalos P.M., Giuffrida G. & Umeton R. (red.), Machine Learning, Optimization, and Data Science. LOD 2021. International Conference on Machine Learning, Optimization, and Data Science LOD 2021 4 oktober 2021 - 8 oktober 2021 nr. 13163. Cham: Springer. 144-156.
- Yarkoni S., Raponi E., Bäck T.H.W. & Schmitt S. (2022), Quantum annealing for industry applications: introduction and review, Reports on Progress in Physics 85(10): 104001.
- Kefalas M., Santiago Rojo J. de, Apostolidis A., Herik D. van den, Stein B. van & Bäck T.H.W. (2022), Explainable artificial intelligence for exhaust gas temperature of turbofan engines, Journal of Aerospace Information Systems 19(6): 447-454.
- Winter R. de, Bronkhorst P., Stein B. van & Bäck T.H.W. (2022), Constrained multi-objective optimization with a limited budget of function evaluations, Memetic Computing 14: 151-174.
- Moussa C., Wang H., Bäck T.H.W. & Dunjko V (2022), Unsupervised strategies for identifying optimal parameters in Quantum Approximate Optimization Algorithm, EPJ Quantum Technology 9: 11.
- Winter R. de, Stein B. van & Bäck T.H.W. (2022), Multi-point acquisition function for constraint parallel efficient multi-objective optimization. Fieldsend E.J. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York: Association for Computing Machinery . 511-519.
- Nguyen D.A., Kononova A.V., Menzel S., Sendhoff B. & Bäck T.H.W. (2022), An efficient contesting procedure for AutoML optimization, IEEE Access 10: 2169-3536.
- Thomaser A.M., Kononova A.V., Vogt M. & Bäck T.H.W. (2022), One-shot optimization for vehicle dynamics control systems: towards benchmarking and exploratory landscape analysis. Fieldsend J.E. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022: ACM. 2036-2045.
- Ullah S., Wang H., Menzel S., Sendhoff B. & Bäck T.H.W. (2022), A systematic approach to analyze the computational cost of robustness in model-assisted robust optimization: a systematic approach to analyze the computational cost. Rudolph G., Kononova A.V., Aguirre H., Kerschke P., Ochoa G. & Tušar T. (red.), Lecture notes in computer science (LNCS). 17th International Conference on Parallel Problem Solving from Nature 10 september 2022 - 14 september 2022 nr. 13398. Cham: Springer. 63-75.
- Von Dollen D., Yarkoni S., Weimer D., Neukart F. & Bäck T.H.W. (2022), Quantum-enhanced selection operators for evolutionary algorithms. Fieldsend J.E. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York, U.S.A.: ACM. 463-466.
- Stein B. van, Raponi E., Sadeghi Z., Bouman N., Ham R.C.H.J. van & Bäck T.H.W. (2022), A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction, IEEE Access 10: 103364-103381.
- Meijer D.W.J., Luimes R., Knobbe A.J. & Bäck T.H.W. (2022), Anomaly detection in urban drainage with stereovision, Automation in Construction 139: 104285.
- Manuel Proenca H., Grünwald P.D., Bäck T.H.W. & Leeuwen M. van (2022), Robust subgroup discovery: discovering subgroup lists using MDL, Data Mining and Knowledge Discovery 36(5): 1885-1970.
- Moussa C., Rijn J.N. van, Bäck T.H.W. & Dunjko V. (2022), Hyperparameter importance of quantum neural networks across small datasets. Pascal P. & Ienco D. (red.), Discovery Science. International Conference on Discovery Science 2022 10 oktober 2022 - 12 oktober 2022 nr. 13601. Cham: Springer. 32-46.
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics: hot-off-the-press track @ GECCO 2022. Fieldsend J.E. (red.), GECCO '22: proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York, NY, United States: Association for Computing Machinery . 49-50.
- Ye F., Doerr C., Wang H. & Bäck T.H.W. (2022), Automated configuration of genetic algorithms by tuning for anytime performance: hot-off-the-press track at GECCCO 2022. Fieldsend J.E. (red.), GECCO '22: proceedings of the genetic and evolutionary computation conference companion. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022. New York, NY, United States: Association for Computing Machinery . 51-52.
- Long F.X., Stein B. van, Frenzel M., Krause P., Gitterle M. & Bäck T.H.W. (2022), Learning the characteristics of engineering optimization problems with applications in automotive crash. Fieldsend J.E. (red.), GECCO '22: Proceedings of the genetic and evolutionary computation conference. GECCO '22: Genetic and Evolutionary Computation Conference 9 juli 2022 - 13 juli 2022: ACM. 1227-1236.
- Kefalas M., Stein B. van, Baratchi M., Apostolidis A. & Bäck T.H.W. (2022), End-to-end pipeline for uncertainty quantification and remaining useful life estimation: an application on aircraft engines. Do P. (red.), Proceedings of the European conference of the PHM Society 2022 . PHM Society European Conference 6 juli 2022 - 8 juli 2022. PHM Society European Conference nr. 7: PHM Society. 245-260.
- Wang C., Baratchi M., Bäck T.H.W., Hoos H.H., Limmer S. & Olhofer M. (2022), Towards time-series feature engineering in automated machine learning for multi-step-ahead forecasting. Rojas I., Pomares H., Valenzuela O., Rojas F. & Herrera L.J. (red.), Engineering Proceedings. The 8th International Conference on Time Series and Forecasting 27 juni 2022 - 30 juni 2022 nr. 18: MDPI. 17.
- Weyns D., Bäck T.H.W., Vidal R., Yao X. & Belbachir A.N. (2022), The vision of self-evolving computing systems, Journal of Integrated Design & Process Science 26(3-4): 351-367.
- Falconer S., Krause P., Bäck T.H.W., Nordgård-Hansen E. & Grasmo G. (2022), Condition classification of fibre ropes during cyclic bend over sheave testing using machine learning, International Journal of Prognostics and Health Management 13(1): .
- Wang H., Vermetten D., Ye F., Doerr C. & Bäck T.H.W. (2022), IOHanalyzer: detailed performance analyses for iterative optimization heuristics, ACM Transactions on Evolutionary Learning and Optimization 2(1): 3.
- Yang F., Kefalas M., Koch M., Kononova A.V., Qiao Y. & Bäck T.H.W. (2022), Auto-REP: an automated regression pipeline approach for high-efficiency earthquake prediction using LANL data, 2022 14th International conference on computer and automation engineering ICCAE 2022. 2022 14th International Conference on Computer and Automation Engineering (ICCAE) 25 maart 2022 - 27 maart 2022: IEEE. 127-134.
- Ye F., Doerr C., Wang H. & Bäck T.H.W. (2022), Automated configuration of genetic algorithms by tuning for anytime performance, IEEE Transactions on Evolutionary Computation 26(6): 1526-1538.
- Mariot L., Jacobovic D., Bäck T.H.W. & Hernandez-Castro J. (2022), Artificial Intelligence for the design of symmetric cryptographic primitives. In: Batina L., Bäck T.H.W., Buhan I. & Picek S. (red.), Security and Artificial Intelligence. Lecture Notes in Computer Science nr. 13049. Cham: Springer. 3-24.
- Ye F., Vermetten D., Doerr C. & Bäck T.H.W. (2022), Non-elitist selection can improve the performance of irace. Rudolph G., Kononova A.V., Aguirre H., Kerschke P., Ochoa G. & Tušar T. (red.), Parallel problem solving from nature: PPSN XVII. 17th International Conference on Parallel Problem Solving from Nature 10 september 2022 - 14 september 2022 nr. 13398. Cham: Springer. 32-45.
- Camero Unzueta A., Wang H., Alba E. & Bäck T.H.W. (2021), Bayesian neural architecture search using a training-free performance metric, Applied Soft Computing 106: 107356.
- Muller T, Furustam J., Winter R. de & Bäck T.H.W. (2021), Optimizing Ships Using the Holistic Accelerated Concept Design Methodology. Okada T., Suzuki K. & Kawamura Y. (red.), Practical Design of Ships and Other Floating Structures. PRADS 2019. Practical Design of Ships and Other Floating Structures 22 september 2019 - 26 september 2019 nr. LNCE 65. Singapore: Springer. 38-50.
- Winter R. de, Stein B. van & Bäck T.H.W. (2021), SAMO-COBRA: a fast surrogate assisted constrained multi-objective optimization algorithm. Ishibuchi H., Zhang Q., Cheng R., Li K., Li H., Wang H. & Zhou A. (red.), Evolutionary Multi-Criterion Optimization. 11th International Conference on Evolutionary Multi-Criterion Optimization 28 maart 2021 - 31 maart 2021 nr. 12654. Cham: Springer Nature Switzerland AG 2021. 270-282.
- Kononova A.V., Caraffini F. & Bäck T.H.W. (2021), Differential evolution outside the box, Information Sciences 581: 587-604.
- Manuel Proença H., Grünwald P.D., Bäck T.H.W. & Leeuwen M. van (2021), Discovering outstanding subgroup lists for numeric targets using MDL. Hutter F., Kersting K., Lijffijt J. & Valera I. (red.), Machine learning and knowledge discovery in databases. ECML PKDD 2020 14 september 2020 - 18 september 2020 nr. 12457. Cham: Springer . 19-35.
- Wang Y., Limmer S., Olhofer M., Emmerich M.T.M. & Bäck T.H.W. (2021), Automatic preference based multi-objective evolutionary algorithm on vehicle fleet maintenance scheduling optimization, Swarm and Evolutionary Computation 65: 100933.
- Hagg A., Berns S., Asteroth A., Colton S. & Bäck. T (2021), Expressivity of parameterized and data-driven representations in quality diversity search. Chicano F. & Krawiec K. (red.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021. New York, U.S.A.: Association for Computing Machinery. 678-686.
- Kefalas M., Baratchi M., Apostolidis A., Herik D. van den & Bäck T.H.W. (2021), Automated machine learning for remaining useful life estimation of aircraft engines, 2021 IEEE International conference on prognostics and health management (ICPHM). IEEE International Conference on Prognostics and Health Management (ICPHM) 7 juni 2021 - 9 juni 2021: IEEE. 1-9.
- Nguyen D.A., Kong J., Wang H., Menzel S., Sendhoff B., Kononova A.V. & Bäck T.H.W. (2021), Improved automated CASH optimization with tree parzen estimators for class imbalance problems, 2021 IEEE 8th international conference on data science and advanced analytics (DSAA). IEEE 8th International Conference on Data Science and Advanced Analytics (DSAA) 6 oktober 2021 - 9 december 2021: Institute of Electrical and Electronics Engineers (IEEE). 1-9.
- Nguyen D.A., Kononova A.V., Menzel S., Sendhoff B. & Bäck T.H.W. (2021), Efficient AutoML via combinational sampling. IEEE Symposium Series on Computational Intelligence (SSCI 2021) 5 december 2021 - 7 december 2021: Institute of Electrical and Electronics Engineers (IEEE).
- Winter R. de, Stein B. van & Bäck T.H.W. (2021), Ship design performance and cost optimization with machine learning. Bertram V. (red.), COMPIT'21. 20th Conference on Computer and IT Applications in the Maritime Industries 8 augustus 2021 - 9 augustus 2021 nr. 20. Mülheim : Hamburg University of Technology. 185-196.
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- Geraedts V.J., Koch M., Kuiper R., Kefalas M., Bäck T.H.W., Hilten J.J., Wang H., Middelkoop H.A.M., Gaag N.A., Contarino M.F. & Tannemaat M.R. (2021), Preoperative electroencephalography‐based machine learning predicts cognitive deterioration after subthalamic deepbrain stimulation, Movement Disorders 36(10): 2324-2334.
- Li X., Yin Y., Manrique D.V. & Bäck T.H.W. (2021), Lifecycle forecast for consumer technology products with limited sales data, International Journal of Production Economics 239: 108206.
- Ai Z., Ingo H., Schelske C.,Wang H., Krause P. & Bäck T.H.W. (2021), A classification-based solution for recommending process parameters of production processes without quality measures, Procedia Computer Science 180: 600-607.
- Vermetten D., Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2021), Is there anisotropy in structural bias?. Krawiec K. (red.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021. Lille, France: ACM. 1243–1250.
- Nobel J.P. de, Vermetten D., Wang H., Doerr C. & Bäck T.H.W. (2021), Tuning as a means of assessing the benefits of new ideas in interplay with existing algorithmic modules. Krawiec K. (red.), Genetic and Evolutionary Computation Conference, Companion Volume. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021. Lille, France: ACM. 1375-1384.
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- Kocaman V., Shir O.M. & Bäck T.H.W. (2021), The unreasonable effectiveness of the final batch normalization layer. Bebis G. & Athitsos V. (red.), Advances in Visual Computing. ISVC 2021. 2021 International Symposium on Visual Computing 4 oktober 2021 - 6 oktober 2021 nr. LNCS 13018. Advances in Visual Computing: International Symposium on Visual Computing. 81-93.
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- Zeiser A.Z., Stein B van & Bäck T.H.W. (2021), Requirements towards optimizing analytics in industrial processes, Procedia Computer Science 184: 597-605.
- Georgiou T.K., Schmitt S., Bäck T.H.W., Chen W. & Lew M.S.K. (2021), Norm loss: an efficient yet effective regularization method for deep neural networks, 2020 25th International Conference on Pattern Recognition (ICPR). 25th International Conference on Pattern Recognition (ICPR2020) 10 januari 2020 - 15 januari 2020: IEEE. 8812-8818.
- Georgiou T.K., Schmitt S., Bäck T.H.W., Pu N., Chen W. & Lew M.S.K. (2021), Comparison of deep learning and hand crafted features for mining simulation data, 2020 25th International Conference on Pattern Recognition (ICPR). 25th International Conference on Pattern Recognition (ICPR2020) 10 januari 2020 - 15 januari 2020: IEEE. 1-8.
- Ye F., Doerr C. & Bäck T.H.W. (2021), Leveraging benchmarking data for informed one-shot dynamic algorithm selection. Chicano F. (red.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 245-246.
- Sun J., Liu X., Bäck T.H.W. & Xu Z. (2021), Learning adaptive differential evolution algorithm from optimization experiences by policy gradient, IEEE Transactions on Evolutionary Computation 25(4): 666-680.
- Nobel J.P. de, Wang H. & Bäck T.H.W. (2021), Explorative data analysis of time series based algorithm features of CMA-ES variants. Chicano F. (red.), GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 510-518.
- Geraedts V.J., Koch M., Contarino M.F., Middelkoop H.A.M., Wang H. Hilten J.J. van, Bäck T.H.W. & Tannemaat M.R. (2021), Machine learning for automated EEG-based biomarkers of cognitive impairment during Deep Brain Stimulation screening in patients with Parkinson’s Disease, Clinical Neurophysiology 132(5): 1041-1048.
- Kononova A.V., Shir O.M., Tukker T., Frisco P., Zeng S. & Bäck T.H.W. (2021), Addressing the multiplicity of solutions in optical lens design as a niching evolutionary algorithms computational challenge. Chicano F. (red.), GECCO'21: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO '21: Genetic and Evolutionary Computation Conference 10 juli 2021 - 14 juli 2021: ACM. 1596-1604.
- Noller, V., Walther U, Meschut G. & Bäck T.H.W. (2021), Towards an adaptable quality monitoring process for self-piercing riveting, IOP Conference Series : Materials Science and Engineering 1157: 012001.
- deJesus de Araujo Rios T., Stein B. van Wollstadt P., Bäck T.H.W., Sendhoff B. & Menzel S. (2021), Exploiting local geometric features in vehicle design optimization with 3D point cloud autoencoders, 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation, CEC 2021 28 juni 2021 - 1 juli 2021: IEEE. 514-521.
- Nguyen D.V., Zwanenburg E., Limmer S., Luijben W., Bäck T.H.W. & Olhofer M. (2021), A combination of fourier transform and machine learning for fault detection and diagnosis of induction motors, 8th International Conference on Dependable Systems and Their Application (DS). 2021 8th International Conference on Dependable Systems and Their Applications (DSA) 5 augustus 2021 - 6 augustus 2021: IEEE Computer Society . 344-351.
- Yarkoni S., Huck A., Schülldorf H., Speitkamp B., Tabrizi M.S., Leib M. & Bäck T.H.W. Neukart F. (2021), Solving the shipment rerouting problem with quantum optimization techniques. Mes M. & Lalla-Ruiz E. Voss S. (red.), Computational Logistics. ICCL 2021. ICCL 2021 International Conference on Computational Logistics 26 september 2021 - 29 september 2021 nr. 13004. Cham: Spinger. 502-517.
- Saha S., de Jesus de Araujo Rios T., Minku L.L., Stein B. van, Wollstadt P., Yao X., Bäck T.H.W., Sendhoff B. & Menzel S. (2021), Exploiting generative models for performance predictions of 3D car designs. IEEE Symposium Series on Computational Intelligence (SSCI 2021) 5 december 2021 - 7 december 2021: IEEE. 1-9.
- Yarkoni S., Alekseyenko A., Streif M., Von Dollen D.J., Neukart F. & Bäck T.H.W. (2021), Multi-car paint shop optimization with quantum annealing, 2021 IEEE International Conference on Quantum Computing and Engineering (QCE). 2021 IEEE International Conference on Quantum Computing and Engineering (QCE) 17 oktober 2021 - 22 oktober 2021: IEEE. 35-41.
- Thill M., Konen W., Wang H. & Bäck T.H.W. (2021), Temporal convolutional autoencoder for unsupervised anomaly detection in time series, Applied Soft Computing 112: 107751.
- de Jesus de Araujo Rios T., Stein B. van, Bäck T.H.W., Sendhoff B. & Menzel S. (2021), Point2FFD: learning shape representations of simulation-ready 3D models for engineering design optimization, 2021 International Conference on 3D Vision (3DV). International Conference on 3D Vision (3DV) 1 december 2021 - 3 december 2021: IEEE. 1024-1033.
- Doerr C., Ye F., Horesh N., Wang H., Shir O.M. & Bäck T.H.W. (2020), Benchmarking discrete optimization heuristics with IOHprofiler, Applied Soft Computing 88: 106027.
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- Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2020), Can single solution optimisation methods be structurally biased?, 2020 IEEE Congress on evolutionary computation (CEC). 2020 IEEE Congress on Evolutionary Computation (CEC) 19 juli 2020 - 24 juli 2020: IEEE. 1-9.
- Koch M., Wang H., Bürgel R. & Bäck T.H.W. (2020), Towards Data-Driven Services in Vehicles. 6th International Conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2020, Prague (*online-conference due to COVID-19). 2 mei 2020 - 4 mei 2020. [conferentie poster].
- Boks R., Wang H. & Bäck T. (2020), A modular hybridization of particle swarm optimization and differential evolution, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 juli 2020 - 12 juli 2020. New York, NY, USA: Association for Computing Machinery. 1418–1425.
- Ullah S., Xu Z., Wang H., Menzel S., Sendhoff B. & Bäck T. (2020), Exploring clinical time series forecasting with meta-features in variational recurrent models, 2020 International Joint Conference on Neural Networks (IJCNN). 2020 International Joint Conference on Neural Networks (IJCNN) 19 juli 2020 - 24 juli 2020: IEEE. 1-9.
- Moussa C., Wang H., Calandra H., Bäck T.H.W. & Dunjko V. (2020), Tabu-driven quantum neighborhood samplers. Zarges C. & Verel S. (red.), Evolutionary computation in combinatorial optimization. 21st European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2021 7 april 2021 - 9 april 2021. arXiv nr. 12692. Cham: Springer. 100-119.
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- Kefalas M., Koch M., Geraedts V.J., Wang H., Tannemaat M. & Bäck T.H.W. (2020), Automated machine learning for the classification of normal and abnormal electromyography data, 2020 IEEE International Conference on Big Data (Big Data). 2020 IEEE International Conference on Big Data (IEEE BigData 2020) 10 december 2020 - 13 december 2020: IEEE. 1176-1185.
- Ullah S., Nguyen D.A., Wang H., Menzelx S., Sendhoff B. & Bäck T.H.W. (2020), Exploring dimensionality reduction techniques for efficient surrogate-assisted optimization. IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020.
- Wang Y., Stein N. van, Bäck T.H.W. & Emmerich M.T.M. (2020), A tailored NSGA-III for multi-objective flexible job shop scheduling, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020: IEEE. 2746-2753.
- Stein N. van, Wang H. & Bäck T.H.W. (2020), Neural network design: learning from Neural Architecture Search, 2020 IEEE Symposium series on computational intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020: IEEE. 1341-1349.
- Rios T., Kong J., Stein B. van, Bäck T.H.W., Wollstadt P., Sendhoff B. & Menzel S. (2020), Back to meshes: optimal simulation-ready mesh prototypes for autoencoder-based 3D car point clouds, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020: IEEE. 942-949.
- Rios T., Stein N. van, Menzel S., Bäck T.H.W., Sendhoff B. & Wollstadt P. (2020), Feature visualization for 3d point cloud autoencoders, 2020 International Joint Conference on Neural Networks (IJCNN). 2020 International Joint Conference on Neural Networks (IJCNN) 19 juli 2020 - 24 juli 2020: IEEE. 1-9.
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- Kononova A.V., Caraffini F., Wang H. & Bäck T.H.W. (2020), Can compact optimisation algorithms be structurally biased?. Bäck T.H.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautmann H. (red.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. 12269. Cham: Springer . 229-242.
- Wang Y., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2020), Edge-rotated cone orders in multi-objective evolutionary algorithms for improved convergence and preference articulation, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020: IEEE. 165-172.
- Hagg A., Wilde D., Asteroth A. & Bäck T.H.W. (2020), Designing air flow with surrogate-assisted phenotypic niching. Bäck T.H.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautmann H. (red.), International Conference on Parallel Problem Solving from Nature. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. LNCS-12269. Cham: Springer. 140-153.
- Hagg A., Asteroth A. & Bäck T.H.W. (2020), A deep dive into exploring the preference hypervolume. In: Kutz O. & Pinto H.S. (red.) Proceedings of the 11th International Conference on Computational Creativity (ICCC’20). nr. 2827: CEUR. 394-397.
- Hagg A., Preuss M., Asteroth A. & Bäck T.H.W. (2020), An analysis of phenotypic diversity in multi-solution optimization. Filipič B., Minisci E. & Vasile M. (red.), International Conference on Bioinspired Methods and Their Applications. 9th International Conference, BIOMA 2020 19 november 2020 - 20 november 2020. Cham: Springer. 43-55.
- Kong J., de Jesus de Araujo Rios T., Kowalczyk W.J., Menzel S. & Bäck T.H.W (2020), On the performance of oversampling techniques for class imbalance problems. Lauw H., Wong R.W., Ntoulas A., Lim E.P., Ng S.K. & Pan S (red.), Advances in knowledge discovery and data mining. PAKDD 2020. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining. PAKDD 2020 11 mei 2020 - 14 mei 2020 nr. 12085. Cham: Springer. 84-96.
- Kong J., Kowalczyk W.J., Menzel S. & Bäck T.H.W (2020), Improving imbalanced classification by anomaly detection. Bäck T.H.W. et al (red.), Parallel problem solving from nature – PPSN XVI. PPSN 2020. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. 12269. Cham: Springer. 512-523.
- Detwiler M.W., Reynolds Jr J.W., Watts A.H., Breukelaar R. & Bäck T.H.W. (7 april 2020), Computer-implemented land planning system and method with GIS integration (octrooi nr. US 10,614,255 B2). Verleend op 7 april 2020 door Unites States Patent and Trademark Office. [octrooi].
- Vermetten D.L., Wang H., Bäck T.H.W. & Doerr C. (2020), Towards dynamic algorithm selection for numerical black-box optimization: investigating BBOB as a use case, GECCO '20: Proceedings of the 2020 genetic and evolutionary computation conference companion. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 juli 2020 - 12 juli 2020. New York, U.S.A.: Association for Computing Machinery. 654-662.
- Vermetten D.L., Wang H., Doerr C. & Bäck T.H.W. (2020), Integrated vs. sequential approaches for selecting and tuning CMA-ES variants, GECCO '20: Genetic and evolutionary computation conference. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 juli 2020 - 12 juli 2020: ACM. 903-912.
- Wang H., Doerr C., Shir O.M. & Bäck T.H.W. (2020), Benchmarking and analyzing iterative optimization heuristics with IOHprofiler, GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Genetic and Evolutionary Computation Conference (GECCO 2020) 8 juli 2020 - 12 juli 2020: ACM. 1043-1054.
- Ye F., Wang H., Doerr C. & Bäck T.H.W. (2020), Benchmarking a (μ+λ) genetic algorithm with configurable crossover probability. Bäck T.H.W., Preuss M., Deutz A., Wang H., Doerr C., Emmerich M.T.M. & Trautman H. (red.), Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020 nr. 12270. Cham: Springer. 699-713.
- Soltani M.S., Hermans F.F.J. & Bäck T.H.W. (2020), The significance of bug report elements, Empirical Software Engineering 25: 5255-5294.
- Thill M., Konen W. & Bäck T.H.W. (2020), Time series encodings with temporal convolutional networks. Filipic B., Minisci E. & Vasile M. (red.), Bioinspired optimization methods and their applications. BIOMA 2020. 9th International Conference, BIOMA 2020 19 november 2020 - 20 november 2020 nr. 12438. Cham: Springer. 161-173.
- Prager R.P., Traumann H., Wang H., Bäck T.H.W. & Kerschke P. (2020), Per-instance configuration of the modularized CMA-ES by means of classifier chains and exploratory landscape analysis, 2020 IEEE Symposium series on computational intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI) 1 december 2020 - 4 december 2020: IEEE. 996-1003.
- Blom K. van der, Yang K., Bäck T. & Emmerich M.T.M. (2019), Towards Multi-objective Mixed Integer Evolution Strategies. Emmerich M.T.M., Deutz A.H., Hille S.C. & Sergeyev Y.D. (red.), Proceedings LeGO - 14th International Global Optimization Workshop. LeGO - 14th International Global Optimization Workshop 18 september 2018 - 21 september 2018 nr. 2070: AIP Publishing. 020046.
- Yang K., Blom K. van der, Bäck T. & Emmerich M.T.M. (2019), Towards Single- and Multiobjective Bayesian Global Optimization for Mixed Integer Problems. Emmerich M.T.M., Deutz A.H., Hille S.C. & Sergeyev Y.D. (red.), Proceedings LeGO - 14th International Global Optimization Workshop: AIP Publishing. LeGO - 14th International Global Optimization Workshop 18 september 2018 - 21 september 2018 nr. 2070: AIP Publishing. 020044.
- Wang H., Emmerich M.T.M. & Bäck T.H.W. (2019), Towards Self-Adaptive Efficient Global Optimization, AIP Conference Proceedings. LeGO - 14th International Global Optimization Workshop 18 september 2018 - 21 september 2018 nr. 2070: AIP Publishing. 020056.
- Wang H., Emmerich M.T.M. & Bäck T.H.W. (2019), Mirrored orthogonal sampling for covariance matrix adaptation evolution strategies, Evolutionary Computation 27(4): 699-725.
- Calvo B., Shir O.M., Ceberio J., Doerr C., Wang H. & Bäck T.H.W. (2019), Bayesian Performance Analysis for Black-box Optimization Benchmarking, Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019: ACM. 1789-1797.
- Doerr C., Ye F., Horesh N., Wang H., Shir O.M. & Bäck T.H.W. (2019), Benchmarking Discrete Optimization Heuristics with IOHprofiler, Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019: ACM. 1798--1806.
- Yarkoni S., Wang H., Plaat A. & Bäck T.H.W. (2019), Boosting Quantum Annealing Performance Using Evolution Strategies for Annealing Offsets Tuning. Feld S. & Linnhoff-Popien C. (red.), Quantum Technology and Optimization Problems. QTOP 2019 18 maart 2019 - 21 maart 2019 nr. LNCS 11413. Cham: Springer International Publishing. 157-168.
- Wang H., Bäck T.H.W., Plaat A., Emmerich M.T.M. & Preuss M. (2019), On the potential of evolution strategies for neural network weight optimization. Lopez-Ibanez M., Auger A. & Stützle T. (red.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019: ACM. 191-192.
- Wang H., Yitan L. & Bäck T.H.W. (2019), Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution, 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC) 2019 10 juni 2019 - 13 juni 2019: IEEE. 2649-2656.
- Stein B. van, Wang H., Kowalczyk W.J., Emmerich M.T.M. & Bäck T.H.W. (2019), Cluster-based Kriging approximation algorithms for complexity reduction, Applied Intelligence : .
- Bagheri S., Konen W. & Bäck T. (2019), Solving optimization problems with high conditioning by means of online whitening. López-Ibánez M. (red.), GECCO '19: Proceedings of the genetic and evolutionary computation conference companion. GECCO 2019 13 juli 2019 - 17 juli 2019: ACM. 243-244.
- Bagheri S., Konen W. & Bäck T. (2019), Solving optimization problems with high conditioning by means of online whitening. Lopez-Ibanez M. (red.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: Association for Computing Machinery. 243--244.
- Stein B. van, Wang H. & Bäck T.H.W. (2019), Automatic Configuration of Deep Neural Networks with Parallel Efficient Global Optimization, 2019 International Joint Conference on Neural Networks (IJCNN). 2019 International Joint Conference on Neural Networks (IJCNN) 14 juli 2019 - 19 juli 2019. Budapest, Hungary, Hungary: IEEE. 1-7.
- Ye F., Doerr C. & Bäck T.H.W. (2019), Interpolating Local and Global Search by Controlling the Variance of Standard Bit Mutation, 2019 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC) 2019 10 juni 2019 - 13 juni 2019: IEEE. 2292-2299.
- Nguyen D.V., Kefalas M., Yang K., Apostolidis A., Olhofer M., Limmer S. & Bäck T.H.W. (2019), A Review: Prognostics and Health Management in Automotive and Aerospace, International Journal of Prognostics and Health Management 10(2): 35.
- Kefalas M., Limmer S., Apostolidis A., Olhofer M., Emmerich M.T.M. & Bäck T.H.W. (2019), A tabu search-based memetic algorithm for the multi-objective flexible job shop scheduling problem. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: Association for Computing Machinery. 1254-1262.
- Wang Y., Emmerich M.T.M., Deutz A. & Bäck T.H.W. (2019), Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA. Deb K., Goodman E., Coello Coello C.A., Klamroth K., Mietinnen K., Mostaghim S. & Reed P. (red.), Evolutionary Multi-Criterion Optimization. EMO 2019. 10th International Conference on Evolutionary Multi-Criterion Optimization 10 maart 2019 - 13 maart 2019 nr. 11411. Cham: Springer. 346-358.
- Wang Y., Limmer S., Olhofer M., Emmerich M.T.M. & Bäck T.H.W. (2019), Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms, 2019 IEEE Contress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation (CEC) 2019 10 juni 2019 - 13 juni 2019: IEEE.
- Winter R. de, Stein B. van, Dijkman M. & Bäck T.H.W. (2019), Designing Ships Using Constrained Multi-objective Efficient Global Optimization. Nicosia G., Parda-los P., Giuffrida G., Umeton R. & Sciacca V. (red.), Machine Learning, Optimization, and Data Science LOD2018. The Fourth International Conference on Machine Learning, Optimization, and Data Science 13 september 2018 - 16 september 2018 nr. 11331. Cham: Springer International Publishing. 191–203.
- Saha S., Rios T., Menzel S., Sendhoff B., Bäck T.H.W., Yao X., Xu Z. & Wollstadt P. (2019), Learning Time-Series Data of Industrial Design Optimization using Recurrent Neural Networks, 2019 International Conference on Data Mining Workshops (ICDMW). 2019 International Conference on Data Mining Workshops (ICDMW) 8 november 2019 - 11 november 2019: IEEE. 785-792.
- Nguyen D.V., Limmer S., Yang K., Olhofer M. & Bäck T.H.W. (2019), Modeling and Prediction of Remaining Useful Lifetime for Maintenance Scheduling Optimization of a Car Fleet, International Journal of Performability Engineering 15(9): 2318-2328.
- Yang K., Emmerich M.T.M., Deutz A.H. & Bäck T.H.W. (2019), Efficient computation of expected hypervolume improvement using box decomposition algorithms, Journal of Global Optimization 75: 3-34.
- Detwiler M.W., Reynolds J.W.Jr., Watts A.H., Baeck T.H.W. & Breukelaar R. (2019), Computer-implemented land planning system and method (octrooi nr. US10380270B2).. [octrooi].
- Vreumingen D. van, Neukart F., Dollen D. von der, Othmer C., Hartmann M., Voigt A.C. & Bäck T.H.W. (2019), Quantum-assisted finite-element design optimization. arXiv nr. 1908.03947. [working paper].
- Detwiler M.W., Reynolds Jr. J.W., Watts A.H., Baeck T.H.W., Breukelaar R. & Senft H.P. (2019), Computer-implemented land planning system and method with automated parking area design tools (octrooi nr. US10366180B2).. [octrooi].
- Frisco F., Bootsma T. & Bäck T.H.W. (2019), Multi-objective genetic algorithms for reducing mark read-out effort in lithographic tests. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: ACM. 365-366.
- Horesh N., Bäck T.H.W. & Shir O.M. (2019), Predict or screen your expensive assay: DoE vs. surrogates in experimental combinatorial optimization. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: ACM. 274-284.
- Hagg A., Asteroth A. & Bäck T.H.W. (2019), Modeling user selection in quality diversity. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: ACM. 116-124.
- Yang K., Palar P.S., Emmerich M.T.M., Shimoyama K. & Bäck T.H.W. (2019), A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization. Lopez-Ibanez M. (red.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 juli 2019 - 17 juli 2019. New York, NY, U.S.A.: ACM. 656-663.
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- Thill M., Däubener S., Konen W. & Bäck T.H.W. (2019), Anomaly Detection in Electrocardiogram Readings with Stacked LSTM Networks. Barancikova P., Holena M., Horvat T., Pleva M. & Rosa R. (red.), Proceedings of the 19th Conference Information Technologies - Applications and Theory (ITAT 2019). 19th Conference Information Technologies - Applications and Theory (ITAT 2019) 20 september 2019 - 24 september 2019 nr. 2473. Aachen, Germany: CEUR-WS. 17-25.
- Koch M., Geraedts V., Wang H., Tannemaat M. & Bäck T. (2019), Automated Machine Learning for EEG-Based Classification of Parkinson’s Disease Patients, 2019 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data (Big Data) 9 december 2019 - 12 december 2019: IEEE. 4845-4852.
- Guo X., Stein B. van & Bäck T.H.W. (2019), A New Approach Towards the Combined Algorithm Selection and Hyper-parameter Optimization Problem, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019: IEEE. 2042-2049.
- Etoeharnowo T., Castelein K., Wang H. & Bäck T.H.W. (2019), Switching Between Swarm Optimization Algorithms During a Run: An Empirical Study, 2019 IEEE Symposium on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019: IEEE. 2295-2302.
- Wang C., Bäck T.H.W., Hoos H.H., Baratchi M., Limmer S. & Olhofer M. (2019), Automated Machine Learning for Short-term Electric Load Forecasting, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019: IEEE. 314-321.
- Kong J., Kowalczyk W.J., Nguyen D.A, Bäck T.H.W. & Menzel S. (2019), Hyperparameter optimisation for improving classification under class imbalance. 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). 3072-3078.
- Rios T., Sendhoff B., Menzel S., Bäck T.H.W. & Stein B. van (2019), On the Efficiency of a Point Cloud Autoencoder as a Geometric Representation for Shape Optimization, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). 791-798.
- Rios T., Wollstadt P., Stein B. van, Bäck T.H.W., Xu Z., Sendhoff B. & Menzel S. (2019), Scalability of Learning Tasks on 3D CAE Models Using Point Cloud Autoencoders, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers (IEEE). 1367-1374.
- Ullah S. Wang H. Menzel S. Sendhoff B. Bäck T.H.W. (2019), An empirical comparison of meta-modeling techniques for robust design optimization. 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. 819-828.
- Yang K., Emmerich M.T.M., Deutz A.H. & Bäck T.H.W. (2019), Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient, Swarm and Evolutionary Computation 44: 945-956.
- Manuel Proença H., Klijn R., Bäck T.H.W. & Leeuwen M. van (2019), Identifying flight delay patterns using diverse subgroup discovery, Proceedings of the Symposium Series on Computational Intelligence (SSCI'18). 2018 Symposium Series on Computational Intelligence 18 november 2018 - 21 november 2018. Bangalore, India: IEEE. 60-67.
- Koch M., Wang H. & Bäck T.H.W. (2018), Machine Learning for Predicting the Damaged Parts of a Low Speed Vehicle Crash, 2018 Thirteenth International Conference on Digital Information Management. International Conference on Digital Information Management (ICDIM) 24 september 2018 - 26 september 2019. Berlin, Germany: IEEE Xplore. 179-184.
- Bagheri Samineh, Konen Wolfgang & Bäck Thomas (2018), How to Solve the Dilemma of Margin-Based Equality Handling Methods. Hoffmann F., Hüllermeier E. & Mikut R. (red.), Proceedings - 28. Workshop Computational Intelligence. 28. Workshop Computational Intelligence 29 november 2018 - 30 november 2020: KIT. 257--270.
- Schönfelder M., Protschky V. & Bäck T.H.W. (2018), Reconstructing Fixed Time Traffic Light Cycles by Camera Data Analytics, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITCS). IEEE 20th International Conference on Intelligent Transportation Systems 16 oktober 2017 - 19 oktober 2017: IEEE. 1-7.
- Blom K. van der & Bäck T.H.W. (2018), A new foraging-based algorithm for online scheduling. Aquirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference 15 juli 2018 - 19 juli 2018. New York, NY, USA: ACM. 53-60.
- Rijn S.J. van, Schmitt S., Olhofer M., Leeuwen M. van & Bäck T. (2018), Multi-Fidelity Surrogate Model Approach to Optimization. Aguirre H. (red.), GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 juli 2018 - 19 juli 2018. New York: ACM. 225-226.
- Rijn S.J. van, Doerr C. & Bäck T. (2018), Towards an Adaptive CMA-ES Configurator. Auger A., Fonseca C., Lourenco N., Machado P., Paquete L. & Whitley D. (red.), Parallel Problem Solving from Nature - PPSN XV. PPSN 2018. PPSN: International Conference on Parallel Solving from Nature 8 september 2018 - 12 september 2018 nr. Lecture Notes in Computer Science, volume 11101. Cham: Springer. 54-65.
- Doerr C., Ye F., Rijn S.J. van, Wang H. & Bäck T.H.W. (2018), Towards a Theory-Guided Benchmarking Suite for Discrete Black-Box Optimization Heuristics: Profiling (1+λ) EA Variants on OneMax and LeadingOnes. Aguirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO '18). GECCO 2018 15 juli 2018 - 19 juli 2018. Kyoto, Japan: ACM. 951-958.
- Wang H. & Bäck T.H.W. (2018), Ranking Empirical Cumulative Distribution Functions using Stochastic and Pareto Dominance. Aguirre H. (red.), GECCO '18 Proceedings of the Genetic and Evolutionary Computation Conference. GECCO 2018 15 juli 2018 - 19 juli 2018. New York, NY, USA: ACM. 257-258.
- Palar P.S., Yang K., Shimoyama K., Emmerich M.T.M. & Bäck T.H.W. (2018), Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement. Aguirre H. (red.), GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 juli 2018 - 19 juli 2018. New York: ACM. 1333-1340.
- Georgiou T.K., Olhofer M., Schmitt S., Liu Y., Bäck T.H.W. & Lew M.S.K. (2018), Learning fluid flows, 2018 International Joint Conference on Neural Networks (IJCNN). 2018 International Joint Conference on Neural Networks IJCNN 9 juli 2018 - 13 juli 2018. Rio De Janeiro, Brazil: IEEE. 1-8.
- Stein B. van, Wang H., Kowalczyk W.J. & Bäck T.H.W. (2018), A Novel Uncertainty Quantification Method for Efficient Global Optimization. Medina J., Ojeda-Aciego M., Verdegay J.L., Perfilieva I., Bouchon-Meunier B. & Yager R.R. (red.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications - 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. IPMU 2018 : 17th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems 11 juni 2018 - 15 juni 2018 nr. Communications in Computer and Information Science, volume 855. Cham: Springer. 480-491.
- Wang H., Emmerich M.T.M. & Bäck T.H.W. (2018), Cooling Strategies for the Moment-Generating Function in Bayesian Global Optimization, 2018 IEEE Congress on Evolutionary Computation (CEC 2018). 2018 IEEE Congress on Evolutionary Computation (CEC) 8 juli 2018 - 13 juli 2018: IEEE. 1-8.
- Wang H., Bäck T.H.W. & Emmerich M.T.M. (2018), Multi-point Efficient Global Optimization Using Niching Evolution Strategy. Tantar A., Tantar E., Emmerich M.T.M., Legrand P., Alboaie L. & Luchian H. (red.), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI. The EVOLVE 2015 International Conference 18 juni 2015 - 24 juni 2015 nr. Advances in Intelligent Systems and Computing, volume 674. Cham: Springer. 146-162.
- Doerr C., Wang H., Ye F., Rijn S.J. van & Bäck T.H.W. (2018), IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics.
- Stein B. van, Wang H. & Bäck T.H.W. (2018), Automatic Configuration of Deep Neural Networks with EGO.
- Hagg A., Asteroth A. & Bäck T.H.W. (2018), Prototype discovery using quality-diversity. Auger A., Fonseca C.M., Lourenço N., Machado P., Paquete L. & Whitley D. (red.), Parallel Problem Solving from Nature – PPSN XV. PPSN: International Conference on Parallel Solving from Nature 8 september 2018 - 12 september 2018 nr. Lecture Notes in Computer Science, volume 11101. Cham: Springer. 500-511.
- Yarkoni S., Plaat A. & Bäck T.H.W. (2018), First results solving arbitrarily structured Maximum Independent Set problems using quantum annealing, 2018 IEEE Congress on Evolutionary Computation (CEC). 2018 IEEE Congress on Evolutionary Computation (CEC) 8 juli 2018 - 13 juli 2018: IEEE. 1-6.
- Shir O.M., Doerr C. & Bäck T.H.W. (2018), Compiling a benchmarking test-suite for combinatorial black-box optimization: a position paper. Aguirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 juli 2018 - 19 juli 2018. New York: ACM. 1753-1760.
- Bäck T.H.W. (2018), Algorithms for Simulation-Based Optimization Problems. Nolle L., Burger A., Tholen C., Werner J. & Wellhausen J. (red.), Proceedings European Conference on Modelling and Simulation, ECMS 2018. 32nd EUROPEAN CONFERENCE ON MODELLING AND SIMULATION (ECMS 2018) 22 mei 2018 - 25 mei 2018: ECMS. 5-7.
- Koch M. & Bäck T.H.W. (2018), Machine Learning for Predicting the Impact Point of a Low Speed Vehicle Crash. Arif Wani M., Kantardzic M., Sayet-Mouchaweh M., Gama J. & Lughofer E. (red.), Proceedings 17th IEEE International Conference on Machine Learning and Applications. ICMLA 2018. 17th IEEE International Conference on Machine Learning and Applications. ICMLA 2018 17 december 2018 - 20 december 2018: IEEE. 1432-1437.
- Stein B. van, Leeuwen M. van & Bäck T. (2017), Local Subspace-Based Outlier Detection using Global Neighbourhoods, 2016 IEEE International Conference on Big Data (Big Data). : IEEE. 1136-1142.
- Stein B. van, Leeuwen M. van, Wang H., Purr S., Kreissl S., Meinhardt J. & Bäck T.H.W. (2017), Towards Data Driven Process Control in Manufacturing Car Body Parts, 2016 International Conference on Computational Science and Computational Intelligence CSCI. International Conference on Computational Science and Computational Intelligence (CSCI 2016) 15 december 2016 - 17 december 2016: IEEE CPS.
- Yang Z., Osta J.P. van, Veen B. van, Krevelen R. van, Stam A., Kok J.N., Bäck T.H.W. & Emmerich M.T.M. (2017), Dynamic vehicle routing with time windows in theory and practice, Natural computing 16(1): 119–134.
- Wang H., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2017), Hypervolume Indicator Gradient Ascent Multi-objective Optimization. Trautmann H., Rudolph G., Klamroth K., Schütze O., Wiecek M., Jin Y. & Grimme C. (red.), Evolutionary Multi-Criterion Optimization. 9th International Conference on Evolutionary Multi-Criterion Optimization 19 maart 2017 - 22 maart 2017 nr. 10173. Cham: Springer International Publishing. 654-669.
- Blom K. van der, Boonstra S., Hofmeyer H., Bäck T. & Emmerich M.T.M. (2017), Configuring Advanced Evolutionary Algorithms for Multicriteria Building Spatial Design Optimisation. 2017 IEEE Congress on Evolutionary Computation (CEC) 5 juni 2017 - 8 juni 2017: IEEE. 1803-1810.
- Wang H., Stein B. van, Emmerich M.T.M. & Bäck T.H.W. (2017), Time complexity reduction in efficient global optimization using cluster kriging, GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO 2017) 15 juli 2017 - 19 juli 2017. New York: ACM. 889-896.
- Rijn S.J. van, Wang H., Stein B. van & Bäck T.H.W. (2017), Algorithm configuration data mining for CMA evolution strategies, GECCO '17 Proceedings of the Genetic and Evolutionary Computation Conference. Genetic and Evolutionary Computation Conference (GECCO 2017) 15 juli 2017 - 19 juli 2017. New York: ACM. 737-744.
- Wang H., Stein B. van, Emmerich M.T.M. & Bäck T.H.W. (2017), A New Acquisition Function for Bayesian optimization based on the moment-generating function. Wang Hao, Stein B. van, Emmerich Michael T.M. & Bäck T.H.W. (red.), 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 5 oktober 2017 - 8 oktober 2017. Banff, AB, Canada: IEEE. 507-512.
- Bagheri S., Konen W., Emmerich M.T.M. & Bäck T.H.W. (2017), Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets, Applied Soft Computing 61: 377-393.
- Zhao J., Basto-Fernandes V., Jiao L., Yevseyeva I., Maulana A., Li R., Bäck T.H.W., Tang K. & Emmerich M.T.M. (2017), Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms (corrigendum), Information Sciences 403-404: 55-55.
- Janus T., Foussette C., Urselmann M., Tlatlik S., Gottschalk A., Emmerich M.T.M., Bäck T.H.W. & Engell S. (2017), Optimization-Based Process Synthesis Based on a Commercial Flowsheet Simulator, Chemie Ingenieur Technik 89(5): 655-664.
- Janus T., Foussette C., Urselmann M., Tlatlik S., Gottschalk A., Emmerich M.T.M., Bäck T.H.W. & Engell S. (2017), Optimierungsbasierte Prozesssynthese auf Basis eines kommerziellen Flowsheet Simulators, Chemie Ingenieur Technik 89(5): 655-664.
- Mayrhofer R. & Bäck T.H.W. (2017), Corrosion test improvement by data driven climatic modeling, Materials and Corrosion 68(12): 1338-1342.
- Bagheri S., Konen W. & Bäck T.H.W. (2017), Comparing Kriging and Radial Basis Function Surrogates. Hoffmann F., Hüllermeier E. & Mikut R. (red.), Proceedings. 27. Workshop Computational Intelligence. 27th Workshop Computational Intelligence 23 november 2017 - 24 november 2017. Karlsruhe: KIT Scientific Publishing. 243-259.
- Thill M., Konen W. & Bäck T.H.W. (2017), Anomaly Detection in Time Series with Discrete Wavelet Transforms and Maximum Likelihood Estimation. Hoffmann F., Hüllermeier E. & Mikut R. (red.), Proceedings. 27. Workshop Computational Intelligence, Dortmund, 23. - 24. November 2017. 27th Workshop Computational Intelligence 23 november 2017 - 24 november 2017: Karlsruher Institut für Technologie. 67-71.
- Spek T. van der, Stein B. van, Holst M. van der & Bäck T.H.W. (2017), A Multi-Method Simulation of a High-Frequency Bus Line, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITCS). IEEE 20th International Conference on Intelligent Transportation Systems 16 oktober 2017 - 19 oktober 2017: IEEE Xplore. 1-6.
- Thill M., Konen W. & Bäck T.H.W. (2017), Time Series Anomaly Detection with Discrete Wavelet Transforms and Maximum Likelihood Estimation, Proceedings of the International Work-Conference on Tme Series (ITISE 2017). International Work-Conference on Time-Series Analysis, ITISE 2017 18 september 2017 - 20 september 2017 nr. 2: Godel.
- Thill M., Konen W. & Bäck T.H.W. (2017), Online Anomaly Detection on the Webscope S5 Data Set: A Comparative Study. Škrjanc I. & Blažič S. (red.), 2017 Evolving and Adaptive Intelligent Systems (EAIS). IEEE Conference on Evolving and Intelligent Adaptive Systems (EAIS 2017) 31 mei 2017 - 2 juni 2017: IEEE Xplore. 1-8.
- Yang Z., Li L., Deutz A.H., Bäck T. & Emmerich M.T.M. (2016), SMS-EMOA with multiple dynamic reference points, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery: IEEE. 282-288.
- Yang K., Li L., Deutz A.H., Bäck T. & Emmerich M.T.M. (2016), Preference-based multiobjective optimization using truncated expected hypervolume improvement, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery: IEEE. 276-281.
- Urselmann M., Foussette C., Janus T., Tlatlik S., Gottschalk A., Emmerich M.T.M., Engell S. & Bäck T. (2016), Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis. Friedrich T. (red.), Proceedings of the Genetic and Evolutionary Computation Conference 2016. Genetic and Evolutionary Computation Conference (GECCO 2016) 20 juli 2016 - 24 juli 2016. New York: ACM. 1029-1036.
- Stein B. van, Wang H., Kowalczyk W., Emmerich Michael T.M. & Bäck T. (2016), Fuzzy clustering for Optimally Weighted Cluster Kriging, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) 24 juli 2016 - 29 juli 2016: IEEE. 939-945.
- Yang K., Deutz A.H., Yang Z., Bäck T. & Emmerich M.T.M. (2016), Truncated expected hypervolume improvement:Exact computation and application, 2016 IEEE Congress on Evolutionary Computation (CEC). 2016 IEEE Congress on Evolutionary Computation (CEC) 24 juli 2016 - 29 juli 2016: IEEE. 4350-4357.
- Bagheri S., Konen W. & Bäck T. (2016), Equality constraints handling for surrogate-assisted constrained optimization, 2016 IEEE Congress on Evolutionary Computation (CEC). 2016 IEEE Congress on Evolutionary Computation (CEC) 24 juli 2016 - 29 juli 2016: IEEE. 1924-1931.
- Stein B. van, Leeuwen M. van & Bäck T. (2016), Local Subspace-Based Outlier Detection using Global Neighbourhoods. Joshi J., Karypis G., Liu L., Hu X., Ak R., Xia Y., Xu W., Sato A.-H., Rachuri S., Ungar L., Yu P.S., Govindaraju R. & Suzumura T. (red.), Proceedings 2016 IEEE International Conference on Big Data Dec 05-Dec 08, 2015, Washington D.C., USA. IEEE International Conference on Big Data 2016 5 december 2016 - 8 december 2016: IEEE. 1136-1142.
- Stein B. van, Hao Wang, Kowalczyk W.J., Emmerich Michael T.M. & Bäck T.H.W. (2016), Fuzzy clustering for Optimally Weighted Cluster Kriging, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Fuzzy Systems, 2016 IEEE 24 juni 2016 - 29 juni 2016: IEEE. 978-1-5090-0627-4.
- Stein B. van, Kowalczyk W.J. & Bäck T.H.W. (2016), Analysis and Visualization of Missing Value Patterns. Carvalho J., Lesot M.J., Kaymak U., Vieira S., Bouchon-Meunier B. & Yager R. (red.), Information Processing and Management of Uncertainty in Knowledge-Based Systems. Information Processing and Management of Uncertainty in Knowledge-Based Systems 2016 20 juni 2016 - 24 juni 2016 nr. 611. Switzerland: Springer International Publishing. 187-198.
- Stein B. van, Leeuwen M. van & Bäck T.H.W. (2016), Local Subspace-Based Outlier Detection using Global Neighbourhoods, 2016 IEEE International Conference on Big Data (Big Data). IEEE International Conference on Big Data 2016 5 december 2016 - 8 december 2016: IEEE Publishing.
- Yang K., Li L., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2016), Preference-based multiobjective optimization using truncated expected hypervolume improvement, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD),. 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) 13 augustus 2016 - 15 augustus 2016: IEEE Publishing.
- Hao Wang, Emmerich Michael T.M. & Bäck T. (2016), Balancing Risk and Expected Gain in Kriging-based Global Optimization, 2016 IEEE Congress on Evolutionary Computation (CEC). 2016 IEEE Congress on Evolutionary Computation (CEC) 24 juli 2016 - 29 juli 2016: IEEE Publishing. 719-727.
- Yang Z., Hao Wang, Yang K., Bäck T. & Emmerich M.T.M. (2016), SMS-EMOA with multiple dynamic reference points, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD),. 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) 13 augustus 2016 - 15 augustus 2016: IEEE Publishing. 282-288.
- Rijn Sander van, Hao Wang, Leeuwen M. van & Bäck T.H.W. (2016), Evolving the Structure of Evolution Strategies, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE SSCI 2016 6 december 2016 - 9 december 2016: IEEE Publishing. 1-8.
- Yang K., Deutz A.H., Yang Z., Bäck T.H.W. & Emmerich M.T.M. (2016), Truncated expected hypervolume improvement: Exact computation and application, 2016 IEEE Congress on Evolutionary Computation (CEC). 2016 IEEE Congress on Evolutionary Computation (CEC) 24 juli 2016 - 29 juli 2016: IEEE Publishing. 4350-4357.
- Heiningen P. van, Stein B. van & Bäck T.H.W. (2016), A Framework for Evaluating Meta-models for Simulation-based Optimisation, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE Symposium Series on Computational Intelligence (SSCI 2016) 6 december 2016 - 9 december 2016: IEEE.
- Yang Z., Emmerich Michael T.M., Bäck T.H.W. & Kok J.N. (2016), Multi-objective inventory routing with uncertain demand using population-based metaheuristics, Integrated Computer-Aided Engineering 23(3): 205-220.
- Zhao J., Basto Fernandes V., Jiao L., Yevseyeva I., Maulana A., Li R., Bäck T.H.W., Tang T. & Emmerich M.T.M. (2016), Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms, Information Sciences 367-368: 80–104.
- Bagheri S., Konen W. & Bäck T.H.W. (2016), Equality Constraint Handling for Surrogate-Assisted Constrained Optimization. Tan K.C. (red.), 2016 IEEE Congress on Evolutionary Computation (CEC). 2016 IEEE Congress on Evolutionary Computation (CEC) 24 juli 2016 - 29 juli 2016: IEEE. 1924--1931.
- Wang P., Emmerich M.T.M., Li R., Tang K., Bäck T.H.W. & Yao X. (2015), Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance, IEEE Transactions on Evolutionary Computation 19(2): 188-200.
- Urselmann M., Engell S., Foussette C., Bäck T.H.W., Janus T., Tlatlik S., Gottschalk A. & Emmerich M.T.M. (2015), Designoptimierung thermischer Trennverfahren mit memetischen Algorithmen und Aspen Plus Prozessmodellen, Chemie Ingenieur Technik 87(8): 1060.
- Koch P., Wagner T., Emmerich M.T.M., Bäck T.H.W. & Konen W. (2015), Efficient multi-criteria optimization on noisy machine learning problems, Applied Soft Computing 29: 357-370.
- Yang Z., Emmerich M., Bäck T. & Kok J. (2015), Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. In: Ferrández Vicente J.M., Álvarez-Sánchez J.R., Paz López F. de la, Toledo-Moreo F.C.O.J. & Adeli H. (red.), Bioinspired Computation in Artificial Systems nr. 9108 2015 127-137.
- Maulana A., Jiang Z., Liu J., Bäck T. & Emmerich M.T.M. (2015), Reducing Complexity in Many Objective Optimization Using Community Detection, 2015 IEEE Congress on Evolutionary Computation (CED). 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 3140-3147.
- Yang Z., Emmerich M.T.M., Bäck T.H.W. & Kok J.N. (2015), Multicriteria Inventory Routing by Cooperative Swarms and Evolutionary Algorithms. Ferrandez Vicente J., Alvarez-Sanchez J., Paz Lopez F. de la, Toledo-Moreo F. & Adeli H. (red.), Bioinspired Computation in Artificial Systems. IWINAC 2015.. Sixth International Work-Conference on the Interplay between Natural and Artificial Computation (IWINAC 2015) 1 juni 2015 - 5 juni 2015 nr. LNCS 9108. Cham: Springer. 127-137.
- Rijn S. van, Emmerich M.T.M., Reehuis E. & Bäck T.H.W. (2015), Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm, 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 227-234.
- Koch P., Bagheri S., Konen W., Foussette C., Krause P. & Bäck T.H.W. (2015), A New Repair Method For Constrained Optimization. Silva S. (red.), Gecco '15 Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. Genetic and Evolutionary Computation Conference (GECCO 2015) 11 juli 2015 - 15 juli 2015. New York, NY, U.S.A.: ACM. 273-280.
- Urselmann M., Foussette C., Janus T., Tlatlik S., Gottschalk A., Emmerich M.T.M. & Bäck T.H.W. (2015), Derivative-Free Design Optimization of Chemical Processes by a Memetic Algorithm. UK Workshop on Computational Intelligence. [lezing].
- Mayrhofer R. & Bäck T.H.W. (2015), Corrosion Test Improvement by Climate Modeling, Proceedings European Corrosion Congress (EUROCORR 2015). European Corrosion Congress (EUROCORR 2015) 6 september 2015 - 10 september 2015. Leoben, Austria: Austrian Society for Metallurgy and Materials (ASMET). 1170-1176.
- Yang Z., Emmerich M.T.M. & Bäck T.H.W. (2015), Ant based solver for dynamic vehicle routing problem with time windows and multiple priorities. Obayashi S., Poloni C. & Murata T. (red.), Proceedings CEC 2015. 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE Xplore. 2813-2819.
- Heiningen P. van, Reehuis E.J.J. & Bäck T.H.W. (2015), Comparing a Weiszfeld's-based Procedure and (1+1)-ES for Solving the Planar Single-Facility Location-Routing Problem, 2015 IEEE Symposium Series on Computational Intelligence. IEEE Symposium Series on Computational Intelligence (SSCI 2015) 8 december 2015 - 10 december 2015: IEEE. 1743-1750.
- Stein B. van, Wang H., Kowalczyk W., Bäck T. & Emmerich M. (2015), Optimally Weighted Cluster Kriging for Big Data Regression. Fromont E., Bie T. de & Leeuwen M. van (red.), Advances in Intelligent Data Analysis XIV. 14th International Symposium, IDA 2015 22 oktober 2015 - 24 oktober 2015 nr. LNCS 9385. Cham: Springer International Publishing. 310-321.
- Leuven J., Emmerich M.T.M., Reehuis E. & Bäck T.H.W. (2015), User-derived mutation in highly constrained truck loading optimization, 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 IEEE Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 235-242.
- Yang K., Gaida D., Bäck T.H.W. & Emmerich M.T.M. (2015), Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. Obayashi S., Poloni C. & Murata T. (red.), 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 1934-1942.
- Zhang X., Wu J., Duan C., Emmerich M.T.M. & Bäck T.H.W. (2015), Towards robustness optimization of complex networks based on redundancy backup, 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 2820-2826.
- Maulana A., Jiang Z., Liu J., Bäck T.H.W. & Emmerich M.T.M. (2015), Reducing complexity in many objective optimization using community detection, 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015: IEEE. 3140-3147.
- Leuven J., Emmerich M., Reehuis E. & Bäck T. (2015), User-derived mutation in highly constrained Truck Loading Optimization, Proceedings CEC 2015. 2015 Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015. Sendai, Japan: IEEE. 235-242.
- Hao Wang, Bäck T.H.W. & Emmerich M.T.M. (2015), Multi-point efficient global optimization using Niching Evolution Strategy, Proceedings EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI. EVOLVE 2015 18 juni 2015 - 24 februari 2016: Springer.
- Yang K., Gaida D., Bäck T. & Emmerich M. (2015), Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant. 2015 IEEE Congress on Evolutionary Computation (CEC 2015) 25 mei 2015 - 28 mei 2015. Sendai, Japan: IEEE. 1934-1942.
- Bagheri S., Konen W., Foussette C., Krause P., Bäck T.H.W. & Koch P. (2015), SACOBRA: Self-Adjusting Constrained Black-Box Optimization with RBF, Proceedings 25th Workshop Computational Intelligence. 25th Workshop Computational Intelligence 26 november 2015 - 27 november 2015 nr. 54. Karlsruhe, Germany: KIT Scientific Publishing. 87-96.
- Bäck T.H.W., Foussette C. & Krause P. (2015), Automatic Metamodeling of CAE Simulation Models, Atz Worldwide 117(5): 36-41.
- Bagheri S., Konen W., Emmerich M.T.M. & Bäck T.H.W. (2015), Solving the G-problems in less than 500 iterations: Improved efficient constrained optimization by surrogate modeling and adaptive parameter control. arXiv preprint arXiv:1512.09251. [working paper].
- Gheorge M., Snoeck M., Emmerich M.T.M., Bäck T.H.W., Goeman J. & Raz V. (2014), Major aging-associated RNA expressions change at two distinct age-positions, BMC Genomics 15: 132.
- Swenne M. & Bäck T.H.W. (2014), Optimizing Pedestrian Environments with Evolutionary Strategies. In: , Pedestrian and Evacuation Dynamics 2012: Springer. 1331-1340.
- Bäck T.H.W. (2014), Introduction to evolution strategies, Proceedings 2014 Conference on Genetic and Evolutionary Computation (Companion). : ACM. 251-280.
- Yang K., Emmerich Michael T.M., Li R., Wang J. & Bäck T.H.W. (2014), Power Distribution Network Reconfiguration by Evolutionary Integer Programming, Proceedings Parallel Problem Solving from Nature (PPSN XIII). nr. LNCS 8672: Springer International Publishing. 11-23.
- Hao Wang, Emmerich Michael T.M. & Bäck T.H.W. (2014), Mirrored orthogonal sampling with pairwise selection in evolution strategies, Proceedings 29th Annual ACM Symposium on Applied Computing. : ACM. 154-156.
- Koch P., Bagheri S., Foussette C., Krause P., Bäck T.H.W. & Konen W. (2014), Constrained Optimization with a Limited Number of Function Evaluations, Proceedings 24th Workshop Computational Intelligence. 237-256.
- Zhao J., Fernandes V.B., Licheng J., Yevseyeva I., Maulana A., Li R., Bäck T.H.W. & Emmerich M.T.M. (2014), Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm.
- Li R., Emmerich Michael T.M., Eggermont J., Bäck T.H.W., Schützand M., Dijkstra J. & Reiber J.H.C. (2013), Mixed Integer Evolution Strategies for Parameter Optimization, Evolutionary Computation 21(1): 29-64.
- Bäck T.H.W., Foussette C. & Krause P. (2013), Contemporary Evolution Strategies. Natural Computing Series: Springer-Verlag.
- Reehuis E.J.J., Olhofer M., Emmerich Michael T.M., Sendhoff B. & Bäck T.H.W. (2013), Novelty and Interestingness Measures for Design-space Exploration, Proceedings 15th Annual Conference on Genetic and Evolutionary Computation - GECCO'13. : ACM Press. 1541-1548.
- Reehuis E.J.J., Olhofer M., Sendhoff B. & Bäck T.H.W. (2013), Learning-Guided Exploration in Airfoil Optimization, Proceedings 14th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL'13. nr. Lecture Notes in Computer Science: Springer-Verlag. 506-513.
- Stettina C.J., Zhou Zhao, Bäck T.H.W. & Katzy B.R. (2013), Academic Education of Software Engineering Practices: Towards Planning and Improving Capstone Courses Based upon Intensive Coaching and Team Routines, Proceedings 26th Conference on Software Engineering Education & Training. : IEEE Computer Society. 169-178.
- Veen B.D.V., Emmerich Michael T.M., Yang Z., Bäck T.H.W. & Kok J.N. (2013), Ant Colony Algorithms for the Dynamic Vehicle Routing Problem with Time Windows. Vicente J.M.F., Sánchez J.R.Á., Paz López F. & Toledo-Moreo F.J. (red.), Natural and Artificial Computation in Engineering and Medical Applications - 5th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2013, Mallorca, Spain, June 10-14, 2013. Proceedings, Part II. nr. 7931: Springer. 1-10.
- Emmerich Michael T.M., Deutz H.A., Schütze O., Bäck T.H.W., Tantar E., Tantar A.-A., Del Moral P., Legrand P., Bouvry P. & Coello C.C. (red.) (2013), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. Advances in Intelligent Systems and Computing: Springer-Verlag.
- Wang P., Emmerich Michael T.M., Li R., Tang K., Xin Y. & Bäck T.H.W. (2013), Convex Hull-Based Multi-objective for Genetic Programming for Maximizing ROC Performance.
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- Li Rui, Emmerich Michael T.M., Eggermont J., Bäck T.H.W., Schütz M., Dijkstra J. & Reiber J.H.C. (2012), Mixed Integer Evolution Strategies for Parameter Optimization, Evolutionary Computation : 1-38.
- Swenne M. & Bäck T.H.W. (2012), Optimizing Pedestrian Environments with Evolutionary Strategies [poster], Proceedings Sixth International Conference on Pedestrian and Evacuation Dynamics. 47-47.
- Groot Jelle de, Nugroho A., Bäck T.H.W. & Visser Joost (2012), What Is the Value of Your Software?, Proceedings Third International Workshop on Managing Technical Debt (MTD 2012). .
- Gaida D., Wolf C., Bäck T.H.W. & Bongards M. (2012), Nonlinear Model Predictive Substrate Feed Control of Biogas Plants, 20th Mediterranian Conference on Control & Automation. 652-657.
- Wink S., Bäck T.H.W. & Emmerich M.T.M. (2012), A Meta-Genetic Algorithm for Solving the Capacitated Vehicle Routing Problem, IEEE Congress on Evolutionary Computation 2012. 1-8.
- Rozenberg G., Bäck T.H.W. & Kok J.N. (red.) (2012), Handbook of Natural Computing 1-4. Heidelberg: Springer-Verlag.
- Gaida D., Wolf C., Meyer A., Stuhlsatz J., Lippel J., Bäck T.H.W., Bongards M. & McLoone S. (2012), State Estimation for Anaerobic Digesters Using the ADM 1, Water Science and Technology 66(5): 1088-1095.
- Kruisselbrink J.W., Emmerich Michael T.M. & Bäck T.H.W. (2011), An Archive Maintenance Scheme for Finding Robust Solutions, Parallel Problem Solving from Nature (PPSN XI). : Springer. 214-223.
- Reehuis E., Kruisselbrink J.W., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2011), Multiobjective optimization of water distribution networks using SMS-EMOA, Proceedings Evolutionary and Deterministic Methods for Design, Optimization and Control. : CIMNE. 269-279.
- Gaida D., Wolf C., Meyer C., Stuhlsatz A., Lippel J., Bäck T.H.W., Bongards M. & McLoone S. (2011), State Estimation for Anaerobic Digesters using the ADM1, Prceedings International IWA Symposium on Anaerobic Digestion of Solid Waste and Energy Crops. .
- Reehuis E., Kruisselbrink J.W., Olhofer M., Graenig L., Sendhoff B. & Bäck T.H.W. (2011), Model-guided Evolution Strategies for Dynamically Balancing Exploration and Exploitation, Proceedings of the 10th International Conference on Artificial Evolution, EA 2011. 306-317.
- Bäck T.H.W. (2011), Evolution strategies: basic introduction, Proceedings 13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011. : ACM. 875-898.
- Bäck T.H.W., Kessler L. & Heinle I. (2011), Evolutionary strategies for identification and validation of material model parameters for forming simulations, Proceedings 13th Annual Genetic and Evolutionary Computation Conference, GECCO 2011. : ACM. 1779-1786.
- Kruisselbrink J.W., Reehuis E., Deutz A.H., Bäck T.H.W. & Emmerich M.T.M. (2011), Using the uncertainty handling CMA-ES for finding robust optima, Proceedings of the 13th annual conference on Genetic and evolutionary computation. : ACM. 877-884.
- Gaida D., Sousa Brito A.L., Wolf C., Bäck T.H.W., Bongards M. & McLoone S. (2011), Optimal Control of biogas Plants Using Nonlinear MPC, IET Irish Signals and Systems Conference (ISSC 2011). 219-224.
- Kruisselbrink J.W., Emmerich Michael T.M., Deutz A.H. & Bäck T.H.W. (2011), Exploiting Overlap When Searching for Robust Optima, Parallel Problem Solving from Nature (PPSN XI). : Springer. 63-72.
- Kruisselbrink J.W., Li Rui, Reehuis E., Eggermont J. & Bäck T.H.W. (2011), On the Log-Normal Self-Adaptation of the Mutation Rate in Binary Search Spaces, Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, GECCO'11. : ACM. 893-900.
- Rouzee A., Ghafur O., Vidma K., Gijsbertsen A., Shir O.M., Bäck T.H.W., Meijer A., Zande W.J. van der, Parker D. & Vrakking M.J.J. (2011), Evolutionary Optimization of Rotational Population Transfer, Physical 84: 033415.
- Li Rui, Emmerich Michael T.M., Eggermont J., Bäck T.H.W., Dijkstra J., Reiber H. & Schuetz M. (2011), Mixed Integer Evolution Strategies for Parameter Optimization, Evolutionary Computation : .
- Klinkenberg J.W., Emmerich Michael T.M., Deutz A.H., Shir O.M. & Bäck T.H.W. (2010), A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. In: , Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems: Springer-Verlag.
- Meinhardt J., Lipp A., Heinle I. & Bäck T.H.W. (2010), Identification and Validation of Material Descriptions, Bauteile der Zukunft: Methoden und Prozesse. : Europäische Forschungsgesellschaft für Blechverarbeitung e.V.. 431-445.
- Kruisselbrink J.W., Emmerich Michael T.M. & Bäck T.H.W. (2010), An Archive Maintenace Scheme for Finding Robust Solutions, Parallel Problem Solving from Nature (PPSN XI). : Springer. 214-223.
- Reehuis E. & Bäck T.H.W. (2010), Mixed-integer evolution strategy using multiobjective selection applied to warehouse design optimization, Proceedings Genetic and Evolutionary Computation Conference, GECCO 2010. 1187-1194.
- Bäck T.H.W., Knowles J. & Shir O.M. (2010), Experimental optimization by evolutionary algorithms, GECCO (Companion). 2897-2916.
- Kruisselbrink J.W., Emmerich Michael T.M., Deutz A.H. & Bäck T.H.W. (2010), A Robust Optimization Approach using Kriging Metamodels for Robustness Approximation in the CMA-ES, IEEE Congress on Evolutionary Computation (CEC 2010). : IEEE. 1-8.
- Kruisselbrink J.W., Emmerich Michael T.M. & Bäck T.H.W. (2010), An Archive Based Method for Applying Evolutionary Algorithms to Find Robust Optima: Universiteit Leiden.
- Emmerich Michael T.M., Bäck T.H.W. & Li R. (2010), Improving Medical Image Analysis by Optimization, Eureka magazine : 8-11.
- Datema F.R., Moya A., Krause P., Bäck T.H.W., Willmes L., Baatenburg De Jong R.J. & Blom H.M. (2010), Random Survivial Forests and Cox Proportional Hazard Regression in Head and Neck Cancer Survivial Analysis, Head & Neck : .
- Bäck T.H.W., Engels C., Gaul A.J. & Spitzer H. (2010), Optimales Asset Management, Energiewirtschaftliche Tagesfragen 1/2: 78-81.
- Shir O.M., Emmerich Michael T.M. & Bäck T.H.W. (2010), Adaptive niche radii and niche shapes approaches for niching with the cma-es, Evolutionary Computation 18(1): 97-126.
- Shir O.M. & Bäck T.H.W. (2009), Niching with Derandomized Evolution Strategies in Artificial and Real-World Landscapes, Natural computing 8(1): 171-196.
- Li R., Emmerich Michael T.M., Eggermont J., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J & Reiber H. (2009), Optimizing a medical image analysis system using mixed-integer evolution strategies. In: Cagnoni S. & et al. (red.), Evolutionary Image Analysis and Signal Processing: Springer.
- Chen J, Emmerich Michael T.M., Li R., Kok J.N. & Bäck T.H.W. (2009), How to Do Recombination in Evolution Strategies: An Empirical Study, Third International Work conference on the Interplay between Natural and Artificial Computation. IWINAC 223-232.
- Kruisselbrink J.W., Emmerich Michael T.M. & Bäck T.H.W. (2009), On the limitations of adaptive resampling in using the student's t-test evolution strategies, Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation (GECCO). GECCO. New York: ACM. 2649-2656.
- Kruisselbrink J.W., Aleman A., Emmerich Michael T.M., IJzerman A.P., Bender A., Bäck T.H.W. & Horst E. van der (2009), Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching, Proceedings of the 11th Annual conference on Genetic and Evolutionary Computation (GECCO). . New York: ACM. 217-224.
- Kruisselbrink J.W., Emmerich M.T.M., Bäck T.H.W., Bender A., IJzerman A.P. & Horst E. van der (2009), Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design. Ehrgott M., Fonseca C.M., Gandibleux X., Hao J.K. & Sevaux M. (red.), Evolutionary Multi-Criterion Optimization. EMO 2009. EMO: International Conference on Evolutionary Multi-Criterion Optimization 7 april 2009 - 10 april 2009 nr. LNCS 5467. Berlin / Heidelberg: Springer. 453-467.
- Emmerich Michael T.M., Li B.V.Y., Bender Andreas, Faddiev E., Kruisselbrink J.W., Deutz A.H., Horst Eelke van der, IJzerman Adriaan P. & Bäck T.H.W. (2009), Analyzing Molecular Landscapes using Random walks and Information Theory [poster], Chemistry Central Journal 3(Suppl. 1): .
- Shir O.M., Beltrani V., Bäck T.H.W., Rabitz H. & Vrakking M.J.J. (2008), On the diversity of multiple optimal controls for quantum systems, Journal of Physics B: Atomic, Molecular and Optical Physics 41(7): .
- Kazius J., Wurdinger K., Iterson M. van, Kok J.N., Bäck T.H.W. & IJzerman A.P. (2008), GPCR NaVa database: Natural variants in human G protein-coupled receptors, Human Mutation 29(1): 39-44.
- Eggermont J., Li R., Bovenkamp E.G.P., Marquering H.A., Emmerich Michael T.M., Lugt A. van der, Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2008), Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning. In: , Applications of Evolutionary Computing. Heidelberg: Springer Berlin / Heidelberg. 275-284.
- Goes V. van der, Shir O.M. & Bäck T.H.W. (2008), Niche Radius Adaptation with Asymmetric Sharing, PPSN. . Dortmund: Springer. 195-204.
- Li R., Eggermont J., Shir O.M., Emmerich Michael T.M., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2008), Mixed-Integer Evolution Strategies with Dynamic Niching. Rudolph Günter, Jansen Thomas, Lucas Simon M., Poloni Carlo & Beume Nicola (red.), PPSN. : Springer. 246-255.
- Shir O.M., Bäck T.H.W., Rabitz H. & Vrakking M.J.J. (2008), On the Evolution of Laser Pulses Under a Dynamic Quantum Control Environment, Proceedings of IEEE-CEC 2008. . Hong Kong: IEEE Press.
- Emmerich Michael T.M., Kruisselbrink J.W., Horst E. van der, IJzerman A.P., Bender A. & Bäck T.H.W. (2008), Combined Interactive and Automated Adaptive Search for Molecular Design, Proceedings of Adaptive Computing in Design and Manufacture 2008. : IPCC.
- Shir O.M., Roslund J., Bäck T.H.W. & Rabitz H. (2008), Performance Analysis of Derandomized Evolution Strategies in Quantum Control Experiments, Proceedings of GECCO 2008, Atlanta, Georgia. : ACM Press.
- Klinkenberg W., Emmerich Michael T.M., Deutz A.H., Shir O.M. & Bäck T.H.W. (2008), A Reduced-Cost SMS-EMOA using Kriging, Self-Adaptation, and Parallelization. Ehrgott M. & et al. (red.), Conference on Multicriteria Decision Making 2008. .
- Li R., Emmerich Michael T.M., Eggermont J., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2008), Metamodel-Assisted Mixed Integer Evolution Strategies and their Application to Intravascular Ultrasound Image Analysis, Proceedings of IEEE CEC. . Hong Kong 2764-2771.
- Emmerich Michael T.M., Li B.V.Y., Bender A., Faddiev E., Kruisselbrink J.W., Deutz A.H., Horst E. van der, IJzerman A.P. & Bäck T.H.W. (2008), Analysing Molecular Landscapes Using Random Walks and Information Theory, German Conference on Chemoinformatics. 4th German Conference on Chemoinformatics 10 november 2008 - 12 november 2008. Goslar 73.
- Kruisselbrink J.W., Bäck T.H.W., IJzerman A.P. & Horst E. van der (2008), Evolutionary Algorithms for Automated Drug Design Towards Target Molecule Properties, Proceedings of GECCO 2008. . Atlanta: ACM Press.
- Shir O.M., Emmerich Michael T.M. & Bäck T.H.W. (2007), Self-Adaptive Niching CMA-ES with Mahalanobis Metric, proceedings of IEEE Congress on Evolutionary Computation. : Research Publishing Services.
- Shir O.M. & Bäck T.H.W. (2007), Performance analysis of niching algorithms based on derandomized-ES variants. Lipson H. (red.), Genetic and Evolutionary Computation Conference, GECCO 2007. . London: ACM. 705-712.
- Shir O.M., Kok J.N., Bäck T.H.W. & Vrakking M.J.J. (2007), Gaining Insights into Laser Pulse Shaping by Evolution Strategies. Mira J. & Alvarez J.R. (red.), Bio-inspired Modeling of Cognitive Tasks, Second International Work-Conference on the Interplay Between Natural and Artificial Computation. : Springer. 467-477.
- Shir O.M., Raz V., Dirks R.W. & Bäck T.H.W. (2007), Classification of Cell Fates with Support Vector Machine Learning. Marchiori E., Moore J.H. & Rajapakse J.C. (red.), Evolutionary Computation,Machine Learning and Data Mining in Bioinformatics, 5th European Conference. : Springer. 258-269.
- Shir O.M., Emmerich Michael T.M., Bäck T.H.W. & Vrakking M.J.J. (2007), The Application of Evolutionary Multi-Criteria Optimization to Dynamic Molecular Alignment, proceedings of IEEE Congress on Evolutionary Computation. : Research Publishing Services.
- Li R., Eggermont J., Emmerich Michael T.M., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2007), Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis, EvoWorkshops 2007. 391-398.
- Shir O.M. & Bäck T.H.W. (2007), The second harmonic generation case-study as a gateway for es to quantum control problems. Lipson H. (red.), Genetic and Evolutionary Computation Conference, GECCO 2007. . London: ACM. 713-721.
- Samsonova E., Krause P., Bäck T.H.W. & IJzerman A.P. (2007), Characteristic amino acid combinations in olfactory G protein-coupled receptors, Proteins, Structure, Function and Bioinformatics 67(1): 154-166.
- Henkel C.V., Bäck T.H.W., Kok J.N., Rozenberg G. & Spaink H.P. (2007), DNA computing of solutions to knapsack problems, Biosystems 88(1-2): 156-162.
- Bäck T.H.W. & Löwe B. (2007), Computing and the natural sciences at CiE 2005, 371(1-2): 1-3.
- Breukelaar R., Emmerich Michael T.M. & Bäck T.H.W. (2006), On interactive evolution strategies. In: , Applications of Evolutionary Computing. Berlin / Heidelberg: Springer. 530-541.
- Emmerich Michael T.M., Shir O.M. & Bäck T.H.W. (2006), Multi-criteria optimization in laser pulse shaping using evolutionary algorithms and kriging metamodels, MCDM 2006. .
- Li Rui, Emmerich Michael T.M., Eggermont J., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2006), Mixed-Integer NK Landscapes. Parallel Problem Solving from Nature, PPSN. 42-51.
- Emmerich Michael T.M., Li R., Eggermont J., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2006), Optimizing Parameters of Coronary Vessel Image Analysis using Evolution Strategies, 18th Belgium-Netherlands Conference on Artificial Intelligence. .
- Shir O.M., Siedschlag C.H., Bäck T.H.W. & Vrakking M.J.J. (2006), Niching in evolution strategies and its application to laser pulse shaping, The 7th International Conference on Artificial Evolution (EA'05). Artificial Evolution: Springer Verlag.
- Li R., Emmerich Michael T.M., Bäck T.H.W., Bovenkamp E.G.P., Eggermont J., Dijkstra J. & Reiber J.H.C. (2006), Optimizing Parameters of Intravascular Ultrasound Image Analysis Systems using Mixed-Integer Evolution Strategies, Adaptive Computing in Design and Manufacture (ACDM). : IP-CC Press. 283-284.
- Li Rui, Emmerich Michael T.M., Bovenkamp E.G.P., Eggermont J., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2006), Mixed-Integer Evolution Strategies and Their Application to Intravascular Ultrasound Image Analysis. Rothlauf F. & et al. (red.), 8th European Workshop on Evolutionary Computation in Image Analysis and Signal Processing (EvoIASP). : Springer Verlag. 415-426.
- Eggermont J., Bovenkamp E.G.P., Li R., Emmerich Michael T.M., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2006), Extending nk landscapes to the mixed-integer domain, 18th Belgium-Netherlands Conference on Artificial Intelligence. .
- Li R., Emmerich Michael T.M., Eggermont J., Bovenkamp E.G.P., Bäck T.H.W., Dijkstra J. & Reiber J.H.C. (2006), Mixed-Integer Optimization of Coronary Vessel Image Analysis using Evolution Strategies. Keijzer M. & et al. (red.), 8th annual conference on Genetic and evolutionary computation. 1645-1652.
- Kazius J., Nijssen S., Kok J.N., Bäck T.H.W. & IJzerman A.P. (2006), Substructure mining using elaborate chemical representation, Journal of Chemical Information and Modeling 46: 597-605.
- Lameijer E.M.W., Kok J.N., Bäck T.H.W. & IJzerman A.P. (2006), Mining a chemical database for fragment co-occurrence: discovery of "chemical clichés", Journal of Chemical Information and Modeling 46(2): 553-562.
- Lameijer E.M.W., Kok J.N., Bäck T.H.W. & IJzerman A.P. (2006), The Molecule Evoluator. An interactive evolutionary algorithm for the design of drug-like molecules, Journal of Chemical Information and Modeling 46: 545-552.
- Shir O.M. & Bäck T.H.W. (2005), Dynamic niching in evolution strategies with covariance matrix adaptation, Proceedings of the 2005 Congress on Evolutionary Computation CEC-2005. . 2005: IEEE-Press. 2584-2591.
- Shir O.M. & Bäck T.H.W. (2005), Niching in evolution strategies. Beyer H.-G. & O'Reilly U.-M. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). : ACM Press. 915-916.
- Breukelaar R. & Bäck T.H.W. (2005), Neural Networks for Discrete Tomography. Beyer H.-G. & O'Reilly U.-M. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). : ACM. 107-114.
- Breukelaar R. & Bäck T.H.W. (2005), Using a genetic algorithm to evolve behavior in multi dimensional cellular automata: emergence of behavior, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). 107-114.
- Bäck T.H.W. & Breukelaar R. (2005), Using genetic algorithms to evolve behavior in cellular automata. Calude C.S., Dinneen M.J., Paun G., Péréz-Jiménez M.J. & Rozenberg G. (red.), Proceedings of the 4th International Conference on Unconventional Computing 2005. : Springer-Verlag. 1-10.
- Bäck T.H.W., Breukelaar R. & Willmes L. (2005), Problem solving by evolution: One of nature's unconventional programming paradigms. Banâtre J.-P., Fradet P., Giavitto J.-L. & Michel O. (red.), pre-proceedings of Unconventional Programming Paradigms workshop, UPP 2004. 8-13.
- Samsonova E., Bäck T.H.W., Kok J.N. & IJzerman A.P. (2005), Reliable hierarchical clustering with the self-organizing map, Proceedings of the 6th International Symposium on Intelligent Data Analysis (IDA 2005). 385-396.
- Lameijer E.M.W., IJzerman A.P. & Bäck T.H.W. (2005), The Molecule Evoluator: an interactive evolutionary algorithm for designing drug molecules. Beyer H.-G. & O'Reilly U.-M. (red.), Proceedings of the 7th Annual Genetic and Evolutionary Computation Conference (GECCO-2005). . New York: ACM. 1969-1976.
- Lameijer E.M.W., Bäck T.H.W., Kok J.N. & IJzerman A.P. (2005), Evolutionary algorithms in drug design, Natural computing 4: 177-243.
- Samsonova E., Bäck T.H.W., Beukers M.W., IJzerman A.P. & Kok J.N. (2003), Combining and comparing cluster methods in a receptor database, 2810: 342-351.
- Bäck T.H.W. & Krause P. (2002), Evolutionäre Algorthmen in der Anwendung auf industrielle Prozesse, VDE Kongress NetWorlds - Leben und Arbeiten in vernetzten Welten. . Berlin: VDE Verlag. 217-222.
- Bäck T.H.W. (2002), Adaptive business intelligence based on evolution strategies: Some application examples of self-adaptive software. Caulfield H.J., Chen S.-H., Cheng H.-D., Duro R., Honavar V., Kerre E.E., Lu M. & Romay M.G. (red.), Proceedings 6th Joint Conference on Information Sciences. . Durham: JCIS/Association for Intelligent Machinery. 3-7.
- Bäck T.H.W. & Emmerich M.T.M. (2002), Evolution Strategies for Optimisation in Engineering Applications. Mang H.A., Rammerstorfer F.G. & Eberhardsteiner J. (red.), Proceedings Fifth World Congress on Computational Mechanics. .
- Emmerich Michael T.M., Giotis A., Özdemir M., Bäck T.H.W. & Giannakoglu K. (2002), Metamodel-Assisted Evolution Strategies. Merelo Guervos J.J., Adamidis P., Beyer H.G., Fernandez-Villacanas J.L. & Schwefel H.P. (red.), Proc. of the Seventh International Conference on Parallel Problem Solving from Nature. . Berlin: Springer. 361-370.
- Hemert J.I. van & Bäck T.H.W. (2002), The chance of changing, measuring the searched space. Merlo Guervos J.J., Adamidis P., Beyer H.G., Fernandez-Villacanas J.L. & Schwefel H.P. (red.), Proc. of the Seventh International Conference on Parallel Problem Solving from Nature. . Berlin: Springer. 23-32.
- Nijssen S. & Bäck T.H.W. (2002), An Analysis of the Behaviour of Simplified Evolutionary Algorithms on Trap Functions, Proc. 14th Belgium-Dutch Conference ofn Artificial Intelligence. 469-470.
- Bäck T.H.W., Kok J.N. & Rozenberg G. (2002), Evolutionary Computation as a Paradigm for DNA-Based Computing. Landweber L.F. & Winfree E. (red.), Evolution as Computation. . Natural Computing Series: Springer Verlag. 15-40.
- Naujoks B., Willmes L., Bäck T.H.W. & Haase W. (2002), Evaluating Multi Criteria Evolutionary Algorithms for Airfoil Optimization. Merelo Guervos J.J., Adamidis P., Beyer H.G., Fernandez-Villacanas J.L. & Schwefel H.P. (red.), Proc. of the Seventh International Conference on Parallel Problem Solving from Nature. . Berlin: Springer. 841-850.
- Bäck T.H.W., Vermeulen D. & Eiben A.E. (2002), Effects of tax and evolution in an artificial society. Culfield H.J. & et al. (red.), Proceedings 6th Joint Conference on Information Sciences, Second International Workshop on Computational Intelligence in Economics and Finance. . Durham: JCIS/Association for Intelligent Machinery. 1151-1156.
- Bäck T.H.W. (2002), Adaptive Business Intelligence Based on Evolution Strategies: Some Application Examples of Self-Adaptive Software, Information Systems 148: 113-121.
- Bäck T.H.W., Fogel D. & Michalewicz Z. (1998), Handbook of Evolutionary Computation. Bristol and Oxford, United Kingdom: IOP Publishing and Oxford University Press.
- Bäck T.H.W., Eiben A.E., Graaf J.M. de, Preuss M., Schippers C.A. & Taale H. (1998), Optimizing traffic light controllers with evolutionary algorithms. In: Zimmerman H.-J. (red.), Proceedings of the 6th European Congress on Intelligent Techniques and Soft Computing. Aken, Duitsland: Verlag Mainz. 1730-1734.
- Bäck T.H.W., Eiben A.E. & Vink M.E. (1998), A Superior Evolutionary Algorithm for 3-SAT. In: Porto V.W., Saravanan N., Waagen D. & Eiben A.E. (red.), Proceedings of the 7th Annual Conference on Evolutionary Programming. Berlijn, Duitsland: Springer-Verlag. 125-136.
- Bäck T.H.W. (1998), On the Behavior of Evolutionary Algorithms in Dynamic Environments. In: , Proceedings of the Fifth IEEE Conference on Evolutionary Computation. Piscataway, NJ, USA: IEEE Press. 446-451.
- Eiben A.E., Bäck T.H.W., Schoenauer M. & Schwefel H.-P. (red.) (1998), Parallel Problem Solving from Nature - PPSN V. Berlijn, Duitsland: Springer-Verlag.
- Eiben A.E., Bäck T.H.W., Schoenauer M. & Schwefel H.-P. (red.) (1998), Proceedings of the 5th Conference on Parallel Problem Solving from Nature. Berlijn, Duitsland: Springer Verlag.
- Bäck T.H.W., Graaf J.M. de, Kok J.N. & Kosters W.A. (1998), Theory of Genetic Algorithms, Nieuwsbrief van de Nederlandse Vereniging voor Theoretische Informatica 2: 27-35.
- Wiesmann D., Hammel U. & Bäck T.H.W. (1998), Robust Design by Evolution Strategies, IEEE Transactions on Evolutionary Computation 2(3): .
- Bäck T.H.W. (1998), An overview of parameter control methods by self-adaptation in evolutionary algorithms, Fundamenta Informaticae 35: 51-66.
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