Kaifeng Yang
Researcher / Guest
- Name
- Dr. K. Yang
- Telephone
- +31 71 527 4799
- k.yang@liacs.leidenuniv.nl
- ORCID iD
- 0000-0002-1753-6464
Researcher / Guest
- Science
- Leiden Inst of Advanced Computer Science
- 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. (Eds.), Proceedings LeGO - 14th International Global Optimization Workshop. LeGO - 14th International Global Optimization Workshop 18 September 2018 - 21 September 2018 no. 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. (Eds.), Proceedings LeGO - 14th International Global Optimization Workshop: AIP Publishing. LeGO - 14th International Global Optimization Workshop 18 September 2018 - 21 September 2018 no. 2070: AIP Publishing. 020044.
- 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.
- 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.
- 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. (Ed.), Gecco '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2019 13 July 2019 - 17 July 2019. New York, NY, U.S.A.: ACM. 656-663.
- 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. (Eds.), EMO 2019: Evolutionary Multi-Criterion Optimization. 10th International Conference on Evolutionary Multi-Criterion Optimization 10 March 2019 - 13 March 2019 no. LNCS 11411. Cham: Springer Nature Switzerland AG. 359-370.
- 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.
- 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. (Ed.), GECCO'18 Proceedings of the Genetic and Evolutionary Computation Conference Companion. GECCO 2018 15 July 2018 - 19 July 2018. New York: ACM. 1333-1340.
- Yang K. (6 December 2017), Multi-objective Bayesian global optimization for continuous problems and applications (Dissertatie. Leiden Institute of Advanced Computer Science (LIACS), Science, Leiden University). Supervisor(s) and Co-supervisor(s): Bäck T.H.W., Emmerich M.T.M.
- 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 June 2017 - 8 June 2017. Piscataway, NY: IEEE press. 1757-1764.
- 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. (Eds.), International Conference on Evolutionary Multi-Criterion Optimization. 9th International Conference on Evolutionary Multi-Criterion Optimization 19 March 2017 - 22 March 2017 no. LNCS Volume 10173. Cham: Springer. 685-700.
- 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 August 2016 - 15 August 2016: IEEE Publishing.
- 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 August 2016 - 15 August 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 July 2016 - 29 July 2016: IEEE Publishing. 4350-4357.
- 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. (Eds.), Advances in Stochastic and Deterministic Global Optimization. Optimization and its Applications no. 107. Cham: Springer. 229-243.
- 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. (Eds.), Lecture Notes in Computer Science. 8th International Conference, EMO 2015 29 March 2015 - 1 April 2015 no. 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. (Eds.), Evolutionary Multi-Criterion Optimization. 8th International Conference, EMO 2015 29 March 2015 - 1 April 2015 no. 9019: Springer International Publishing. 65-79.
- 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. (Eds.), 2015 IEEE Congress on Evolutionary Computation (CEC). 2015 Congress on Evolutionary Computation (CEC 2015) 25 May 2015 - 28 May 2015: IEEE. 1934-1942.
- 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 May 2015 - 28 May 2015. Sendai, Japan: IEEE. 1934-1942.
- 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). no. LNCS 8672: Springer International Publishing. 11-23.