Michael Emmerich
Gastonderzoeker
- Naam
- Dr. M.T.M. Emmerich
- Telefoon
- +31 71 527 2727
- m.t.m.emmerich@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-7342-2090
Michael T.M. Emmerich is universitair hoofddocent bij LIACS, en hoofd van de onderzoeksgroep Multicriteria Optimalisatie en Beslissingsanalyse en wetenschappelijk coördinator van het Center for Computational Life Science (CCLS) van de Universiteit Leiden. Meer informatie op de Engelstalige pagina.
Meer informatie over Michael Emmerich
Promovendi
Nieuws
-
BNAIC/Benelearn conferentie groot succes -
Efficiëntere geneesmiddelenontwikkeling met hulp van computermodellen -
Hora Est via de computer: zo verliep de eerste volledig digitale promotie in Leiden -
NWO-subsidie voor slim computerprogramma dat speurt naar nieuwe medicijnen -
LIACS onderdeel van Horizon 2020 project over social media analytics -
Informatici uit Leiden en Eindhoven optimaliseren gebouwontwerpen -
Studium Generale-reeks over complexe netwerken afgetrapt -
Algorithms help improve building design
Oud-promovendi
Externe promovendi
Voor meer informatie zie de Engelstalige pagina.
Gastonderzoeker
- Wiskunde en Natuurwetenschappen
- Leiden Inst of Advanced Computer Science
- 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.
- Deutz A.H., Emmerich M.T.M. & Wang Y. (2023), Many-criteria dominance relations. In: Brockhoff D., Emmerich M.T.M., Naujoks B. & Purshouse R. (red.), Many-criteria optimization and decision analysis: state-of-the-art, present challenges, and future perspectives. Natural Computing Series. Cham: Springer International Publishing. 81-111.
- Emmerich M.T.M., Deutz A.H., Wang H., Kononova A.V., Naujoks B., Li K., Miettinen K. & Yevseyeva I. (red.) (2023), Evolutionary multi-criterion optimization : 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20–24, 2023, proceedings. Lecture Notes in Computer Science nr. 13970. Cham: Springer .
- Deutz A.H., Emmerich M.T.M. & Wang H. (2023), The hypervolume indicator Hessian matrix: analytical expression, computational time complexity, and sparsity. Emmerich M.T.M., Deutz A.H., Wang H., Kononova A.V., Naujoks B., Li K., Miettinen K. & Yevseyeva I. (red.), Evolutionary multi-criterion optimization: 12th International Conference, EMO 2023 Leiden, The Netherlands, March 20–24, 2023 proceedings. Evolutionary Multi-Criterion Optimization (EMO) 2023 20 maart 2023 - 24 maart 2023. Lecture Notes in Computer Science nr. LNCS 13970. Cham: Springer. 405-418.
- 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.
- Wang H., Emmerich M.T.M., Preuss M. & Plaat A. (2023), Analysis of hyper-parameters for AlphaZero-like deep reinforcement learning, International Journal of Information Technology and Decision Making 22(2): 829-853.
- Luukkonen S.I.M., Maagdenberg H.W. van den, Emmerich M.T.M. & Westen G.J.P. van (2023), Artificial intelligence in multi-objective drug design, Current Opinion in Structural Biology 79: 102537.
- 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.
- Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2021), Hybridization of an evolutionary algorithm and simulations of co-evolutionary design processes for early-stage building spatial design optimization, Automation in Construction 124: 103522.
- Wang H., Preuss M., Emmerich M.T.M. & Plaat A. (2021), Tackling Morpion Solitaire with AlphaZero-like Ranked Reward Reinforcement Learning, 2020 22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC). 2nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC) 1 september 2020 - 4 september 2020: IEEE. 149-152.
- 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.
- Falcón-Cardona J.G., Ishibuchi H., Coello Coello C.A. & Emmerich M.T.M. (2021), On the effect of the cooperation of indicator-based multiobjective evolutionary algorithms, IEEE Transactions on Evolutionary Computation 25(4): 681-695.
- Echtenbruck P., Emmerich M.T.M., Echtenbruck M. & Naujoks B. (2021), Optimally weighted ensembles in model-based regression for drug discovery, 2021 IEEE Congress on Evolutionary Computation (CEC). IEEE Congress on Evolutionary Computation, CEC 2021 28 juni 2021 - 1 juli 2021: IEEE. 2251-2258.
- Liu X., Ye K., Vlijmen H.W.T. van, Emmerich M.T.M., IJzerman A.P. & Westen G.J.P. van (2021), DrugEx v2: de novo design of drug molecules by pareto-based multi-objective reinforcement learning in polypharmacology, Journal of Cheminformatics 13(1): 85.
- Grimme C., Kerschke P., Aspar P., Trautmann H., Preuss M., Deutz A.H., Wang H. & Emmerich M.T.M. (2021), Peeking beyond peaks: challenges and research potentials of continuous multimodal multi-objective optimization, Computers & Operations Research 136: 105489.
- Wang H., Emmerich M.T.M., Preuss M. & Plaat A. (2020), Alternative loss functions in AlphaZero-like self-play, 2019 IEEE Symposium Series on Computational Intelligence (SSCI). 2019 IEEE Symposium Series on Computational Intelligence (SSCI) 6 december 2019 - 9 december 2019: IEEE. 155-162.
- Wang Y., Deutz A.H., Emmerich M.T.M. & Bäck T.H.W. (2020), Improving many-objective evolutionary algorithms by means of edge-rotated cones . Bäck T.H.W., Preuss M., Deutz A.H., Wang H., Doerr C., Emmerich M.T.M. & Trautmann H. (red.), Parallel problem solving from Nature – PPSN XVI, proceedings part II. PPSN 2020 (16th International Conference on Parallel Problem Solving from Nature) 5 september 2020 - 9 september 2020. Lecture Notes in Computer Science nr. 12270. Cham: Springer Nature Switzerland AG. 313-326.
- Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2020), Conceptual structural system layouts via design response grammars and evolutionary algorithms, Automation in Construction 116: 103009.
- Emmerich M.T.M., Nibbeling J., Kefalas M. & Plaat A. (2020), Multiple Node Immunisation for Preventing Epidemics on Networks by Exact Multiobjective Optimisation of Cost and Shield-Value nr. 2010.06488. NY: Cornell University.
- Ribeiro de Almeida L., Emmerich M.T.M., Da Silva Soares A. & Woerle de Lima T. (2020), On sharing information between sub-populations in MOEA/S. Bäck T.M.T., 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. Parallel Problem Solving from Nature nr. 12270. Cham: Springer. 171-185.
- 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.
- Wang Y., Stein N. van, Bäck T.H.W. & Emmerich M.T.M. (2020), Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search, 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: ACM. 181-182.
- 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.
- Hernández V.A., Schütze O., Wang H., Deutz A.H. & Emmerich M.T.M. (2020), The set-based hypervolume Newton method for bi-objective optimization, IEEE Transactions on Cybernetics 50(5): 2186-2196.
- 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.
- Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2019), Analysing Optimisation Data for Multicriteria Building Spatial Design. Deb K., Goodman E., Coello Coello C.A., Klamroth K., Miettinen K., Mostaghim S. & Reed P. (red.), Evolutionary Multi-Criterion Optimization. 10th International Conference on Evolutionary Multi-Criterion Optimization 10 maart 2019 - 13 maart 2019 nr. 11411. Cham: Springer. 671-682.
- 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.
- 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.
- 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 : .
- 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.
- Wang H., Emmerich M.T.M. & Plaat A. (2019), Assessing the Potential of Classical Q-learning in General Game Playing. Atzmueller M. & Duivesteijn W. (red.), Artificial Intelligence. 30th Benelux Conference on Artificial Intelligence (BNAIC) 8 november 2018 - 9 november 2018 nr. volume 1021. Cham: Springer. 138-150.
- 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.
- 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.
- Friese M.M., Bartz-Beielstein T., Bäck T.H.W., Naujoks B. & Emmerich M.T.M. (2019), Weighted ensembles in model-based global optimization. Emmerich M.T.M., Deutz H., Hille C. & Sergeyev Y.D. (red.), AIP Conference Proceedings. LeGO - 14th International Global Optimization Workshop 18 september 2018 - 21 september 2018 nr. 2070: AIP Publsihing. 020003.
- Emmerich M.T.M. & Deutz A.H. (2019), Generalisierte Hypervolumen-Indikatoren für die Mehrzieloptimierung. In: Küfer K.H., Ruzika S. & Halffmann P. (red.), Multikriterielle Optimierung und Entscheidungsunterstützung. Wiesbaden: Springer Gabler . 1-16.
- Deutz A.H., Emmerich M.T.M. & Yang K. (2019), The expected R2-indicator improvement for multi-objective Bayesian optimization . Deb K., Goodman E., Coello Coello C.A., Klamroth K., Miettinen K., Mostaghim S. & Patrick R. (red.), EMO 2019: Evolutionary Multi-Criterion Optimization. 10th International Conference on Evolutionary Multi-Criterion Optimization 10 maart 2019 - 13 maart 2019 nr. LNCS 11411. Cham: Springer Nature Switzerland AG. 359-370.
- Echtenbruck P., Emmerich M.T.M. & Naujoks B. (2019), A multiobjective approach to classification in drug discovery. Baruzzo G., Daberdaku S., Di Camillo B., Furini S., Giordano E.D. & Nicosi G. (red.), 2019 IEEE Conference on computational intelligence in bioinformatics and computational biology (CIBCB). 16th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology 9 juli 2019 - 11 juli 2019: IEEE. 1-8.
- Kerschke P., Wang H., Preuss M., Grimme G., Deutz A.H., Trautmann H. & Emmerich M.T.M. (2019), Search Dynamics on Multimodal Multi-Objective Problems, Evolutionary Computation 27(4): 577-609.
- Yevseyeva I., Lenselink E.B., Vries A. de, IJzerman A.P., Deutz A.H. & Emmerich M.T.M. (2019), Application of portfolio optimization to drug discovery, Information Sciences 475: 29-43.
- 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.
- Boonstra S., Blom K. van der, Hofmeyer H., Emmerich M.T.M., Schijndel J. van & Wilde P. de (2018), Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation, Advanced Engineering Informatics 36: 86-100.
- Emmerich M.T.M., Shir M.O. & Wang H. (2018), Evolution Strategies. In: Martí R., Panos P. & Resende G.C.M. (red.), Handbook of Heuristics. Cham: Springer International Publishing. 1-31.
- Blom K. van der, Boonstra S., Wang H., Hofmeyer H. & Emmerich M.T.M. (2018), Evaluating Memetic Building Spatial Design Optimisation Using Hypervolume Indicator Gradient Ascent. In: Trujillo L., Schütze O., Maldonado Y. & Valle P. (red.), Numerical and Evolutionary Optimization – NEO 2017. Studies in Computational Intelligence nr. 785. Cham: Springer. 62-86.
- Boonstra S., Blom K. van der, Hofmeyer H., Buijs J. van den & Emmerich M.T.M. (2018), Coupling Between a Building Spatial Design Optimisation Toolbox and BouwConnect BIM. Mutis I. & Hartmann T. (red.), Advances in Informatics and Computing in Civil and Construction Engineering - Proceedings of the 35th CIB W78 2018 Conference: IT in Design, Construction, and Management. 35th CIB W78 2018 Conference 1 oktober 2018 - 3 oktober 2018. Cham: Springer. 95-102.
- Li L., Wang Y., Trautmann H., Jing N. & Emmerich M.T.M. (2018), Multiobjective evolutionary algorithms based on target region preferences, Swarm and Evolutionary Computation 40: 196-215.
- 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.
- Emmerich M.T.M. & Deutz A.H. (2018), A tutorial on multiobjective optimization: fundamentals and evolutionary methods, Natural computing 17(3): 585-609.
- Li L., Chen H., Li J., Jing N. & Emmerich M.T.M. (2018), Preference-Based Evolutionary Many-Objective Optimization for Agile Satellite Mission Planning, IEEE Access 6: 40963-40978.
- Zhao J., Jiao L., Liu F., Fernandes V.B., Yevseyeva I., Xia S. & Emmerich M.T.M. (2018), 3D fast convex-hull-based evolutionary multiobjective optimization algorithm, Applied Soft Computing 67: 322-336.
- Zhao J., Jiao L., Xia S., Fernandes V.B., Yevseyeva I., Zhou Y. & Emmerich M.T.M. (2018), Multiobjective Sparse Ensemble Learning by Means of Evolutionary Algorithms, Decision Support Systems 111: 86-100.
- Baghoussi Y., Mendes-Moreira J. & Emmerich M.T.M. (2018), Updating a robust optimization model for improving bus schedules, 2018 10th International Conference on Communication Systems & Networks (COMSNETS). COMSNETS 2018 10th International Conference on COMmunication Systems & NETworkS 3 januari 2018 - 7 januari 2018: IEEE. 619-624.
- 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.
- Li L., Chen H., Li J., Jing N. & Emmerich M.T.M. (2018), Integrating region preferences in multiobjective evolutionary algorithms based on decomposition, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI). The Tenth International Conference on Advanced Computational Intelligence (ICACI 2018) 29 maart 2018 - 31 maart 2018: IEEE. 379-384.
- Li L., Chen H., Wu J., Li J., Jing N. & Emmerich M.T.M. (2018), Preference-based evolutionary algorithms for many-objective mission planning of agile earth observation satellites. Aguirre H. (red.), Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 juli 2018 - 19 juli 2018. New York: ACM. 187-188.
- Pappa G.L., Emmerich M.T.M., Bazzan A., Browne W., Deb K., Doerr C., Ðurasević M., Epitropakis M.G., Haraldsson S.O., Jakobovic D., Kerschke P., Krawiec K., Lehre P.K., Li X., Lissovoi A., Malo P., Martí L., Mei Y., Merelo J.J., Miller J.F., Moraglio A., Nebro A.J., Nguyen S., Ochoa G., Oliveto P., Picek S., Pillay N., Preuss M., Schoenauer M., Senkerik R., Sinha A., Shir O., Sudholt D., Whitley D., Wineberg M., Woodward J. & Zhang M. (2018), Tutorials at PPSN 2018. Auger A., Fonseca C.M., Lourenço N., Machado P., Paquete L. & Whitley D. (red.), International Conference on Parallel Problem Solving from Nature. PPSN: International Conference on Parallel Solving from Nature 8 september 2018 - 12 september 2018 nr. Lecture Notes in Computer Science, volume 11102. Cham: Springer. 477-489.
- Maulana A., Deutz A.H., Schultes E. & Emmerich M.T.M. (2018), Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks. 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. 163-176.
- Nezhinsky A. & Emmerich M.T.M. (2018), Parameter identification of stochastic gene regulation models by indicator-based evolutionary level set approximation. 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. 50-64.
- Verhoef W., Deutz A.H. & Emmerich M.T.M. (2018), On Gradient-Based and Swarm-Based Algorithms for Set-Oriented Bicriteria Optimization. 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. 18-36.
- 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.
- Basto-Fernandes V., Yevseyeva I., Ruano-Ordás D., Zhao J., Fdez-Riverola F., Méndez J.R. & Emmerich M.T.M. (2018), Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity. 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. 37-49.
- Vysotska V., Fernandes V.B. & Emmerich M.T.M. (2018), Web Content Support Method in Electronic Business Systems. Lytvyn V., Sharonova N., Hamon T., Vysotska V., Grabar N., Kowalska-Styczen A. & Jonek-Kowalska I. (red.), Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference. International Conference CoLInS 2018 25 juni 2018 - 27 juni 2018 nr. 2136 20-41.
- Lytvyn V., Dosyn D., Emmerich M.T.M. & Yevseyeva I. (2018), Content Formation Method in the Web Systems. Lytvyn V., Sharonova N., Hamon T., Vysotska V., Grabar N., Kowalska-Styczen A. & Jonek-Kowalska I. (red.), Proceedings of the 2nd International Conference on Computational Linguistics and Intelligent Systems. Volume I: Main Conference. International Conference CoLInS 2018 25 juni 2018 - 27 juni 2018 nr. 2136 42-61.
- Wang H., Emmerich M.T.M. & Plaat A. (2018), Assessing the Potential of Classical Q-learning in General Game Playing.
- Wang H., Emmerich M.T.M. & Plaat A. (2018), Monte Carlo Q-learning for General Game Playing.
- Bringmann K., Cabello S. & Emmerich M.T.M. (2018), Maximum Volume Subset Selection for Anchored Boxes. Aronov B. & Katz M.J. (red.), Leibniz International Proceedings in Informatics. 33rd International Symposium on Computationsl Geometry (SoCG 2017) 4 juli 2017 - 7 juli 2017 nr. 77. Germany: Dagstuhl Publishing. 22.1-22.15.
- Tantar A., Tantar E., Emmerich M.T.M., Legrand P., Alboaie L. & Luchian H. (red.) (2018), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation VI. Advances in Intelligent Systems and Computing nr. 674. Cham: Springer.
- Maulana A., Gametto V., Garlaschelli D., Yevesyeva I. & Emmerich M.T.M. (2017), Modularities Maximization in Multiplex network Analysis Using Many-Objective Optimization. IEEE SSCI 2016 6 december 2016 - 9 december 2016 nr. 2016 IEEE Symposium Series on Computational Intelligence (SSCI): IEEE. 1-8.
- 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.
- Maulana A., Deutz A.H. & Emmerich M.T.M. (2017), Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks. Tantar A.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. EVOLVE 2015 18 juni 2015 - 24 februari 2016 nr. Volume 674. Cham: Springer. 163-176.
- 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.
- Boonstra S., Blom K. van der, Hofmeyer H. & Emmerich M.T.M. (2017), Combined Super-Structured and Super-Structure Free Optimisation of Building Spatial Designs. Koch C., Tizani W. & Ninic J. (red.), Intelligent computing in engineering. 24rd International Workshop of the European Group for Intelligent Computing in Engineering 10 juli 2017 - 12 juli 2017 23-34.
- 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.
- 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.
- Basto-Fernandez V., Yevseyeva I., Mendez J.R., Zhao J., Fdez-Riverola F. & Emmerich M.T.M. (2017), A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification (corrigendum), Applied Soft Computing 55: 565-565.
- 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.
- Allmendinger R., Emmerich M.T.M., Hakanen J., Jin Y. & Rigoni E. (2017), Surrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case, Journal of Multi-Criteria Decision Analysis 24(1-2): 5-24.
- Bringmann K., Cabello S. & Emmerich M.T.M. (2017), Maximum Volume Subset Selection for Anchored Boxes. Boris A. & Katz M.J. (red.), 33rd International Symposium on Computational Geometry (SoCG 2017). . Dagstuhl, Germany: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik. 22.1-22.15.
- Liu L.-Y., Basto-Fernandes V., Yevseyeva I., Kok J.N. & Emmerich M.T.M. (2017), Indicator-Based Evolutionary Level Set Approximation: Mixed Mutation Strategy and Extended Analysis. Vicente J.M.F., Álvarez-Sánchez J.R., Paz F. de la, López J.T.M. & Hojjat A. (red.), Natural and Artificial Computation for Biomedicine and Neuroscience. 7th. International Work-Conference on the Interplay Between Natural and Artificial Computation 19 juni 2017 - 23 juni 2017 nr. LNCS, volume 10337. Cham: Springer. 146-159.
- Wang Y., Li L., Yang K. & Emmerich M.T.M. (2017), A new approach to target region based multiobjective evolutionary algorithms, 2017 IEEE Congress on Evolutionary Computation (CEC). 2017 IEEE Congress on Evolutiionary Computation (CEC) 5 juni 2017 - 8 juni 2017. Piscataway, NY: IEEE press. 1757-1764.
- Li L., Yao F., Jing N. & Emmerich M.T.M. (2017), Preference incorporation to solve multi-objective mission planning of agile earth observation satellites, 2017 IEEE Congress on Evolutionary Computation (CEC). 2017 IEEE Congress on Evolutionary Computation (CEC) 5 juni 2017 - 8 juni 2017. Piscataway, NY: IEEE Xplore. 1366-1373.
- Li L., Yevseyeva I., Basto-Fernandes V., Trautmann H., Jing N. & Emmerich M.T.M. (2017), Building and Using an Ontology of Preference-Based Multiobjective Evolutionary Algorithms. Trautmann H. (red.), Evolutionary Multi-Criteron Optomization. EMO 2017. 9th International Conference on Evolutionary Multi-Criterion Optimization 19 maart 2017 - 22 maart 2017 nr. Lecture Notes in Computer Science LNCS 10173. Cham: Springer. 406-421.
- Yang K., Emmerich M.T.M., Deutz A.H. & Fonseca C.M. (2017), Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time. Trautmann H., Rudolph G., Klamroth K., Schütze O., Wiecek M., Jin Y. & Grimme C. (red.), International Conference on Evolutionary Multi-Criterion Optimization. 9th International Conference on Evolutionary Multi-Criterion Optimization 19 maart 2017 - 22 maart 2017 nr. LNCS Volume 10173. Cham: Springer. 685-700.
- Basto-Fernandes V., Yevseyeva I., Deutz A. & Emmerich M.T.M. (2017), A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms. In: Emmerich M.T.M., Deutz A., Schütze O., Legrand P., Tantar E. & Tantar A.A. (red.), EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII. Studies in Computational Intelligence nr. 662. Cham: Springer. 3-23.
- Kerschke P., Wang H., Preuss M., Grimme C., Deutz A.H., Trautmann H. & Emmerich M.T.M. (2017), Towards analyzing multimodality of multiobjective landscapes: PPSN 2016 best paper award. [overig].
- Emmerich M.T.M., Deutz A.H., Schütze O., Legrand P., Tantar E. & Tantar A.-A. (2017), EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII. Studies in Computational Intelligence nr. 662. Heidelberg: Springer.
- 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.
- Maulana A., Kefalas M. & Emmerich M.T.M. (2017), Immunization of networks using genetic algorithms and multiobjective metaheuristics, 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2017) 27 november 2017 - 1 december 2017: IEEE. 1-8.
- Michael T.M.Emmerich, Deutz A.H., Li L., Maulana A. & Yevseyeva I. (2016), Maximizing Consensus in Portfolio Selection in Multicriteria Group Decision Making, Procedia Computer Science 100: 848–855.
- 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.
- Kerschke P., Wang H., Preuss M., Grimme C., Deutz A.H., Trautmann H. & Emmerich M.T.M. (2016), Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. Handl J., Hart E., Lewis P.R., López-Ibáñez M., Ochoa G. & Paechter B. (red.), Parallel Problem Solving from Nature – PPSN XIV 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. 14th International Conference on Parallel Problem Solving from Nature 17 september 2016 - 21 september 2016 nr. 9921. Cham: Springer International Publishers. 962-972.
- Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2016), Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. Handl J., Hart E., Lewis P.R., López-Ibáñez M., Ochoa G. & Paechter B. (red.), Parallel Problem Solving from Nature – PPSN XIV 14th International Conference, Edinburgh, UK, September 17-21, 2016, Proceedings. 14th International Conference on Parallel Problem Solving from Nature 17 september 2016 - 21 september 2016 nr. 9921. Cham: Springer International Publishers. 453-462.
- 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.
- 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.
- 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.
- Cai F., Wang H., Tang X., Emmerich M.T.M. & Verbeek F.J. (2016), Fuzzy Criteria in Multi-objective Feature Selection for Unsupervised Learning, Procedia Computer Science 102: 51-58.
- Kerschke P., Hao Wang, Preuss M., Grimme C., Deutz A., Trautmann H. & Emmerich M.T.M. (2016), Towards Analyzing Multimodality of Continuous Multiobjective Landscapes. Handl J., Hart E., Lewis P.R., López-Ibáñez M., Ochoa G. & Paechter B. (red.), Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016 (14th International Conference on Parallel Problem Solving from Nature) 17 september 2016 - 21 september 2016: Springer International Publishing. 962-972.
- Emmerich M.T.M., Yang K., Deutz A.H., Wang H. & Fonseca C.M. (2016), A Multicriteria Generalization of Bayesian Global Optimization. In: Pardalos M.P., Zhigljavsky A. & Zilinskas J. (red.), Advances in Stochastic and Deterministic Global Optimization. Optimization and its Applications nr. 107. Cham: Springer. 229-243.
- Hao Wang, Ren Y., Deutz A. & Emmerich M.T.M. (2016), On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization. In: Schuetze O., Trujillo L., Legrand P. & Maldonado Y. (red.), NEO 2015: Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico. Studies in Computational Intelligence nr. Studies in Computational Intelligence 663. Cham: Springer International Publishing. 175-203.
- Yevseyeva I., Basto Fernandes V., Moorsel A. van, Janicke H. & Emmerich M.T.M. (2016), Two-stage Security Controls Selection, Procedia Computer Science 100: 971-978.
- 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.
- Boonstra S., Blom K. van der, Hofmeyer H., Amor R. & Emmerich M.T.M. (2016), Super-structure and super-structure free design search space representations for a building spatial design in multi-disciplinary building optimisation, Electronic proceedings of the 23rd International Workshop of the European Group for Intelligent Computing in Engineering. EG-ICE 2016 (23rd International Workshop of the European Group for Intelligent Computing in Engineering) 29 juni 2016 - 1 juli 2016: Jagiellonian University ZPGK. 1-10.
- Maulana A., Gemmetto V., Garlaschelli D. & Emmerich M.T.M. (2016), Computing Pareto Fronts of Modularities in Multiplex Economic Network Analysis, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). CENTERIS 2016 : International Conference on ENTERprise Information Systems 5 oktober 2016 - 8 oktober 2016: IEEE Xplore. 1-8.
- Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2016), A super-structure based optimisation approach for building spatial designs. Papadrakakis M., Papadopoulos V., Stefanou G. & Plevris V. (red.), Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering. ECCOMAS Congress 2016 (VII European Congress on Computational Methods in Applied Sciences and Engineering) 5 juni 2016 - 10 juni 2016: National Technical University of Athens. 3409-3422.
- Blom K. van der, Boonstra S., Hofmeyer H. & Emmerich M.T.M. (2016), Multicriteria building spatial design with mixed integer evolutionary algorithms. Handl J., Hart E., Lewis P.R., López-Ibáñez M., Ochoa G. & Paechter B. (red.), Parallel Problem Solving from Nature – PPSN XIV. PPSN 2016 (14th International Conference on Parallel Problem Solving from Nature) 17 september 2016 - 21 september 2016 nr. LNCS 9921: Springer International Publishing AG. 453-462.
- 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.
- Basto-Fernandes V., Yevseyeva I., Méndez J.R., Zhao J., Fdez-Riverola F. & Emmerich M.T.M. (2016), A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification, Applied Soft Computing 48: 111-123.
- 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.
- Emmerich M.T.M. & Nezhinsky A. (2015), Parameter Identification of Stochastic Gene Regulation Models by Indicator-based Evolutionary Level Set Approximation. Tantar A.A., Tantar E., Emmerich M.T.M., Legrand P., Alboaie L. & Luchian H. (red.), EVOLVE 2015 - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation. EVOLVE 2015 18 juni 2015 - 24 februari 2016 nr. AISC 674. IASI: A.I.C. University Iasi. 39-40.
- 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.
- Frantz R.Z., Sawicki S., Roos-Frantz F., Yevseyeva I. & Emmerich M. (2015), On Using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems. Hammoudi S., Maciaszek L. & Teniente E. (red.), Proceedings of the 17th International Conference on Enterprise Information Systems. 17th International Conference on Enterprise Information Systems 27 april 2015 - 30 april 2015 nr. 2. Barcelona: Scitepress. 260-267.
- 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].
- 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.
- Hupkens I., Deutz A., Yang K. & Emmerich M. (2015), Faster Exact Algorithms for Computing Expected Hypervolume Improvement. Gaspar-Cunha A., Henggeler Antunes C. & Coello C. (red.), Lecture Notes in Computer Science. 8th International Conference, EMO 2015 29 maart 2015 - 1 april 2015 nr. 9019 2015. Guimaraes: Springer Link. 65-79.
- Hupkens I., Deutz A.H., Yang K & Emmerich M.T.M. (2015), Faster Exact Algorithms for Computing Expected Hypervolume Improvement. Gaspar-Cunha A., Henggeler Antunes C. & Coello Coello C.A. (red.), Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015 29 maart 2015 - 1 april 2015 nr. 9019: Springer International Publishing. 65-79.
- 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.
- Frantz R.Z., Sawicki S., Roos-Frantz F., Yevseyeva I. & Emmerich M.T.M. (2015), On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems. Hammoudi S., Maciaszek L. & Teniente E. (red.), Proceedings of the 17th International Conference on Entreprise Information Systems. 17th International Conference on Enterprise Information Systems (ICEIS 2015) 27 april 2015 - 30 april 2015 nr. 2: Scitepress. 260-267.
- Tantar A.A., Tantar E., Emmerich M.T.M., Legrand P., Alboaie L. & Luchian H. (red.) (2015), EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VI. Advances in Intelligent Systems and Computing. Switzerland: Springer Nature.
- Wang H., Schwab I. & Emmerich M.T.M. (2015), Comparing Knowledge Representation Forms in Empirical Model Building. Schwab I., Moergestel L. van & Goncalves G. (red.), Proceedings of the Fourth International Conference on Intelligent Systems and Application. Intelli 2015. The Fourth International Conference on Intelligent Systems and Applications 11 oktober 2015 - 16 oktober 2015. Wilmington, DE, U.S.A.: IARIA. 170-178.
- Rosa Sequeira F., Frantz R.Z., Yevseyeva I., Michael T.M.Emmerich & Basto-Fernandes V. (2015), An EAI Based Integration Solution for Science and Research Outcomes Information Management, Procedia Computer Science 64: 894-901.
- Yevseyeva I., Basto-Fernandes V., Emmerich Michael T.M. & Moorsel A. van (2015), Selecting Optimal Subset of Security Controls, Procedia Computer Science 64: 1035-1042.
- Emmerich Michael T.M., Deutz A.H. & Yevseyeva I. (2015), A Bayesian Approach to Portfolio Selection in Multicriteria Group Decision Making, Procedia Computer Science 64(2015): 993-1000.
- 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., 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.
- Emmerich Michael T.M. & Deutz A.H. (2014), Time Complexity and Zeros of the Hypervolume Indicator Gradient Field, Proceedings EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation III. nr. Studies in Computational Intelligence 500: Springer International Publishling. 169-193.
- 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.
- Emmerich Michael T.M. & Nezshinsky A.E. (2014), Evolutionary Level Set Approximation Applied in Biological Systems Identification [extended abstract]. Preuss M. (red.), Proceedings PPSN 2014 - Workshop on Multimodal Optimization. .
- Hernandez S., Adrian V., Schütze O. & Emmerich M.T.M. (2014), Hypervolume Maximization via Set Based Netwon's Method, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V. nr. Advances in Intelligent Systems and Computing 288: Springer International Publishing. 15-28.
- Schütze O., Emmerich Michael T.M., Xiong F.-R. & Sun J.-Q. (2014), Barrier Tree for Continuous Landscape by Means of Generalized Cell Mapping, EVOLVE - A Bridge between Probability, Set Oriented Optimization, and Evolutionary Computation (Short Paper Proceedings). .
- Yevseyeva I., Guerreiro A.P., Emmerich Michael T.M. & Fonseca C.M. (2014), A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms, Parallel Problem Solving from Nature (PPSN XIII). nr. LNCS 8672: Springer. 672-681.
- Tantar A.-A., Tantar E., Sun J.-Q., Zhang W., Ding Q., Schütze O., Emmerich Michael T.M., Legrand P., Del Moral P. & Coello Coello C.A. (red.) (2014), EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V nr. Advances in Intelligent Systems and Computing 288: Springer International Publishing.
- Hupkens I., Emmerich Michael T.M. & Deutz A.H. (2014), Faster Computation of Expected Hypervolume Improvement nr. TR 2014-03. Leiden, The Netherlands: LIACS, Leiden University.
- 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.
- Emmerich Michael T.M., Deutz A.H. & Yevseyeva I. (2014), On Reference Point Free Weighted Hypervolume Indicators based on Desirability Functions and their Probabilistic Interpretation, Procedia Technology 16: 532-541.
- Basto-Fernandes V., Yevseyeva I., Frantz R.Z., Grilo C., Pérez Díaz N. & Emmerich M.T.M. (2014), An Automatic Generation of Textual Pattern Rules for Digital Content Filters Proposal, Using Grammatical Evolution Genetic Programming, Procedia Technology 16: 806-812.
- 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.
- Hupkens I. & Emmerich M.T.M. (2013), Logarithmic-Time Updates in SMS-EMOA and Hypervolume-Based Archiving, EVOLVE - A bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. : Springer International Publishing. 155-169.
- Keizer M.J., Bergen M.J. van & Emmerich M.T.M. (2013), An interactive web-based database application for collaborative collection, storage and retrieval of data on volcanic lakes, Proceedings International Conference IAVCEI 2013 - Scientific Assembly of the International Association of Volcanology and Chemistry of the Earth's Interior. .
- 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.
- Shukla P.K., Emmerich Michael T.M. & Deutz A.H. (2013), A Theoretical Analysis of Curvature Based Preference Models, Proceedings Seventh International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013). nr. Lecture Notes in Computer Science: Springer-Verlag. 367-382.
- Emmerich Michael T.M., Deutz A.H. & Kruisselbrink J.W. (2013), On Quality Indicators for Black-Box Level Set Approximation, Proceedings EVOLVE - A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation. 157-185.
- Zefferer M., Bartz-Beielsteen T., Naujoks B., Wagner T. & Emmerich M.T.M. (2013), Case Study on Multi-Criteria Optimization of an Event Detection Software under Limited Budgets, Proceedings Evolutionary Multi-Criterion Optimization, EMO 2013. nr. LNCS 7811: Springer-Verlag. 756-770.
- Basto-Fernandes V., Yevseyeva I. & Emmerich M.T.M. (2013), A Survey of Diversity-Oriented Optimization. Emmerich Michael T.M. & Deutz A.H. (red.), EVOLVE 2013 - A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation: Extended Abstract Proceedings. : Leiden University. 101-109.
- Emmerich Michael T.M., Deutz A.H., Kruisselbrink J.W. & Shukla P.K. (2013), Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation, Proceedings Seventh International Conference on Evolutionary Multi-Criterion Optimization (EMO 2013). nr. Lecture Notes in Computer Science: Springer-Verlag. 111-127.
- 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.
- Stein B. van, Emmerich Michael T.M. & Yang Z. (2013), Fitness Landscape Analysis of NK Landscapes and Vehicle Routing Problems by Expanded Barrier Trees, EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV. : Springer International Publishing. 75-89.
- 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.
- Emmerich Michael T.M. & Deutz A.H. (red.) (2013), EVOLVE 2013 - A Bridge Between Probability. Set Oriented Numerics, and Evolutionary Computation - Short Paper and Extended Abstract Proceedings: LIACS, Leiden University.
- 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.
- Custodio A.L., Emmerich Michael T.M. & Madeira J.F.A. (2012), Recent Developments in Derivative-Free Multiobjective Optimisation, Computational Technology Reviews 5: 1-30.
- 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.
- Sanchez-Faddeev H., Emmerich Michael T.M., Verbeek F.J., Henry A.H., Grimshaw S., Spaink H.P., Vlijmen H.W.T. van & Bender A. (2012), Using multiobjective optimization and energy minimization to design an isoform-selective ligand of the 14-3-3 Protein. Margaria T. & Steffen B. (red.), Leveraging applications of formal methods, verification and validation. applications and case studies (ISoLA 2012). International Symposium On Leveraging Applications of Formal Methods, Verification and Validation ISoLA 2012 15 oktober 2012 - 18 oktober 2012. Lecture Notes in Computer Science nr. 7610. Berlin, Heidelberg: Springer. 12-24.
- Guerreiro A.P., Fonseca C.M. & Emmerich M.T.M. (2012), A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions, Proceedings 24th Canadian Conference on Computational Geometry, CCCG 2012. 77-82.
- Fonseca C.M., Yevseyeva I. & Emmerich M.T.M. (2012), Risk and return in evolutionary multiobjective optimization, Dagstuhl Seminar on Learning in Multiobjective Optimization. .
- Etemaadi R., Emmerich Michael T.M. & Chaudron M.R.V. (2012), Problem-specific Search Operators for Metaheuristic Software Architecture Design, Proceedings of Search Based Software Engineering - 4th International Symposium, SSBSE 2012. SSBSE 2012: Springer. 267-272.
- Emmerich Michael T.M., Deutz A.H., Kruisselbrink J.W. & Reehuis E. (2012), Evolutionary Approximation of Level Sets, EVOLVE 2012, A bridge between probability, set-oriented numerics, and evolutionary computation. .
- 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.
- Hopfe C., Emmerich Michael T.M., Marijt R. & Hensen J. (2012), Robust multi-criteria design optimization in building design, BSO12, Proceedings of the 1st IBPSA-England Conference Building Simulation and Optimization. : International Building Performance Simulation Association. 118-125.
- Bürklen S., Deb K., Emmerich Michael T.M., Kuefer K., Naujoks B., Ng A.H.C., Oyama A., Poles S., Ulrich T. & Witting K. (2012), What and how can we learn from Pareto fronts and sets? Working Group Pareto Sense, Proceedings Dagstuhl Seminar on Learning in Multiobjective Optimization. 81-81.
- Emmerich Michael T.M., Deutz A.H. & Kruisselbrink J.W. (2012), The Cone-Based Hypervolume Indicator: Definition, Computation and Interpretation: LIACS, Universiteit Leiden.
- Horst Eelke van der, Marques-Gallego P., Mulder-Krieger Thea, Veldhoven J.P.D. van, Kruisselbrink J.W., Aleman A., Emmerich Michael T.M., Brussee J., Bender Andreas & IJzerman A.P. (2012), Multi-Objective Evolutionary Design of Adenosine Receptor Ligands, Journal of Chemical Information and Modeling 52(7): 1713-1721.
- Zaeferer M., Bartz-Beielstein T., Naujoks B., Wagner T & Emmerich M.T.M. (2012), Model-assisted Multi-criteria Tuning of an Event Detection Software under Limited Budgets, Schriftenreihe CIplus 10: .
- Emmerich Michael T.M. & Fonseca C.M. (2011), Computing hypervolume contributions in low dimensions: asymptotically optimal algorithm and complexity results, EMO'11: Proceedings of the 6th international conference on Evolutionary multi-criterion optimization. : Springer. 121-135.
- Li Rui, Etemaadi R., Emmerich Michael T.M. & Chaudron M.R.V. (2011), An evolutionary multiobjective optimization approach to component-based software architecture design, Proceedings IEEE Congress on Evolutionary Computation (CEC 2011). : IEEE. 432-439.
- 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.
- 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.
- Emmerich Michael T.M., Deutz A.H. & Klinkenberg J.W. (2011), Hypervolume-based expected improvement: Monotonicity properties and exact computation, Proceedings of IEEE Congress on Evolutionary Computation (CEC 2011). : IEEE. 2147-2154.
- Li Rui, Etemaadi R., Emmerich Michael T.M. & Chaudron M.R.V. (2011), Automated Design of Software Architectures for Embedded Systems using Evolutionary Multiobjective Optimization, Proceedings Workshop on Applied Combinatorial Optimization. .
- 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.
- Wagner T, Emmerich Michael T.M., Deutz A.H. & Ponweiser W. (2011), On Expected-Improvement Criteria for Model-based Multi-objective Optimization, Parallel Problem Solving from Nature (PPSN XI). : Springer. 718-727.
- Emmerich Michael T.M., Deutz A.H. & Kruisselbrink J.W. (2011), On Quality Indicators for Finite Level-Set Representations, EVOLVE 2011 A bridge between Probability, Set Oriented Numerics and Evolutionary Computation. .
- Sella L., Emmerich Michael T.M. & Hille S.C. (2011), Simulations of Signaling Networks in B. Subtilis, Proceedings 8th European Conference on Mathematical and Theoretical Biology and Annual Meeting of the Society for Mathematical Biology. .
- 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 : .
- Kuijl A. v.d., Emmerich Michael T.M. & Rui Li (2010), A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation, Concurrency and Computation: Practice and Experience 22(3): 314-328.
- Doddareddy M.R., Westen G.J.P. van, Horst Eelke van der, Peironcely Julio E., Corthals Frans, IJzerman A.P., Emmerich Michael T.M., Jenkins Jeremy L. & Bender Andreas (2010), Chemogenomics: Looking at biology through the lens of chemistry, Statistical Analysis and Data Mining 2(3): 149-160.
- 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.
- 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.
- 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.
- Emmerich Michael T.M., Deutz A.H., Li R. & Kruisselbrink J.W. (2010), Getting lost or getting trapped: on the effect of moves to incomparable points in multiobjective hillclimbing, GECCO (Companion). 1963-1966.
- Emmerich Michael T.M. & Deutz A.H. (2010), Variance Monotonicity of the Expected Improvement of the 2D Hypervolume in Pareto Optimization. Leiden: Universiteit Leiden.
- 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.
- Horst E. van der, Peironcely Julio E., IJzerman A.P., Beukers M.W., Lane J.R., Vlijmen H. van, Emmerich M.T.M., Okuno Yasushi & Bender A. (2010), A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization, BMC Bioinformatics 11: 316.
- Eelke H. van der, Kruisselbrink J.W., Aleman A., Emmerich M.T.M., Bender A. & IJzerman A.P. (2010), Evolutionary Design of Selective Adenosine Receptor Ligands [poster], Journal of Cheminformatics 2: 1-1.
- Emmerich Michael T.M., Bäck T.H.W. & Li R. (2010), Improving Medical Image Analysis by Optimization, Eureka magazine : 8-11.
- 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.
- 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.
- Shir O.M., Preuss M., Naujoks B. & Emmerich M.T.M. (2009), Enhancing decision space diversity in evolutionary multiobjective algorithms, Evolutionary Multi-Criterion Optimization, 5th International Conference, EMO 2009. EMO 2009: Springer. 95-109.
- 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.
- Doddareddy M.R., Westen G.J.P. van, Horst E. van der, Peironcely J., Corthals F., IJzerman A.P., Emmerich M.T.M., Jenkins J.L. & Bender A. (2009), Chemogenomics: Looking at biology through the lens of chemistry, Statistical Analysis and Data Mining 2(3): 149-160.
- 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): .
- Li R., Emmerich Michael T.M., Eggermont J., Dijkstra J & Reiber J.H.C. (2009), Radial Basis Function Network Models for metamodeling and Optimization in Mixed-Integer Spaces. Enschede: the University of twente. [overig].
- 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.
- Kuijl A. v.d., Li Rui & Emmerich M.T.M. (2008), A novel multi-objective optimization scheme for grid ressource allocation, 6th International Workshop on Middleware for Grid Computing - MGC 2008. .
- 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.
- Emmerich Michael T.M., Hopfe C., Marijt R., Hensen J. & Struck C. (2008), Evaluating Optimization Methodologies for Future Integration in Building Performance Tools. Parmee Ian (red.), ACDM 2008. .
- 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.
- 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 R., Zhang A., Flesch I. & Lucas P. (2008), Mixed-Integer Bayesian Optimization Utilizing A-Priori Knowledge on Parameter Dependences, 20th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC). . Enschede.
- Kuijl A. v.d., Emmerich Michael T.M. & Rui Li (2008), A novel multi-objective optimization scheme for grid resource allocation, MGC 2008. 7.
- Klinkenberg J.W., Emmerich Michael T.M. & Deutz A.H. (2008), Expected improvement of the S-metric for finite Pareto front approximations, Conference on Multicriteria Decision Making 2008. : M. Ehrgott et al..
- 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.
- Emmerich Michael T.M., Deutz A.H. & Klinkenberg J.W. (2008), The computation of the expected improvement in dominated hypervolume of Pareto front approximations. Leiden: Universiteit Leiden.
- 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.
- Emmerich Michael T.M. & Deutz A.H. (2007), Test Problems based on Lame Superspheres, Evolutionary Multiobjective Optimization 2007 (EMO2007). : Springer. 922-936.
- 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.
- Urselmann M., Emmerich Michael T.M., Till J., Sand G. & Engell S. (2007), Design of problem-specific evolutionary algorithm/mixed-integer programming hybrids: two-stage stochastic integer programming applied to chemical batch scheduling, Engineering Optimization 39(5): 529-549.
- Emmerich Michael T.M., Deutz A.H. & Beume N. (2007), Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric, Hybrid Metaheuristics : 140-156.
- 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. .
- Emmerich Michael T.M. & Deutz A.H. (2006), A family of test problems with pareto-fronts of variable curvature based on super-spheres, 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. .
- Jakumeit J., Emmerich Michael T.M. & Hediger F. (2006), Inverse modeling and numerical optimization of heater temperatures in a bridgman process, Modeling of Casting, Welding and Advanced Solidification Processes XI. .
- Emmerich Michael T.M., Hundemer J., Varcol M.C., Naujoks B. & Abdel-Maksoud M. (2006), Design optimization of ship propellers by means of advanced metamodel-assisted evolution strategies, International Conference on Design Optimization. Proceedings ERCOFTAC 2006.
- 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.
- Emmerich Michael T.M., Urselmann M., Till J., Sand G. & Engell S. (2006), Hybrid ea/mip method for solving two-stage stochastic programming problems in chemical batch scheduling, 7th International Conference on Adaptive Computing in Design and Manufacture. ACDM 2006.
- Emmerich M.T.M. (2006), Sms-emoa: Multiobjective selection based on dominated hypervolume, European Journal of Operational Research : .
- Emmerich Michael T.M., Beume N. & Naujoks B. (2005), An EMO algorithm using the hypervolume measure as selection criterion. Coello Coello C.A., Hernández Aguirre A. & Zitzler E. (red.), Proceedings Evolutionary Multi-Criterion Optimization: Third Int'l Conference (EMO 2005). . Berlin: Springer-verlag. 62-76.
- Jakumeit J. & Emmerich M.T.M. (2005), Inverse modelling and numerical optimization of heater temperatures in a Bridgman process, Proceedings of MCWASP Conference Modeling of Casting, Welding and Advanced Solidification Processes XI 2005. . 2005.
- Preuss M., Schönemann L. & Emmerich M.T.M. (2005), Counteracting Genetic Drift and Disruptive Recombination in (mu + lambda)-EA on Multimodal Fitness Landscapes. Beyer H.-G. & O'Reilly U.-M. (red.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2005). : ACM. 865-872.
- Till J., Sand G., Engell S., Emmerich Michael T.M. & Schönemann L. (2005), A hybrid algorithm for solving two-stage stochasticinteger problems by combining evolutionary algorithms and mathematical programming methods. Puigjaner L. (red.), Proceedings European Symposium Computer Aided Process Engineering (ESCAPE-15). . Computer-aided Chemical Engineering. Amsterdam: Elsevier. 187-192.
- Naujoks B., Beume N. & Emmerich M.T.M. (2005), Multi-objective optimisation using S-metric selection: Application to three-dimensional solution spaces. McKay B. & et al. (red.), Proceedings 2005 Congress on Evolutionary Computation (CEC'05). . Piscataway NJ: IEEE Press. 1282-1289.
- Naujoks B., Beume N. & Emmerich M.T.M. (2005), Metamodel-assisted SMS-EMOA applied to airfoil optimization tasks, Proceedings Evolutionary and Deterministic Methods for Design Optimisation and Control with Applications to Industrial and Societal Problems (EUROGEN'05). .
- 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.