| Faster exact algorithms for computing expected hypervolume improvement I Hupkens, A Deutz, K Yang, M Emmerich International Conference on Evolutionary Multi-Criterion Optimization, 65-79, 2015 | 31 | 2015 |
| A multicriteria generalization of bayesian global optimization M Emmerich, K Yang, A Deutz, H Wang, CM Fonseca Advances in Stochastic and Deterministic Global Optimization, 229-242, 2016 | 28 | 2016 |
| Preference-based multiobjective optimization using truncated expected hypervolume improvement K Yang, L Li, A Deutz, T Back, M Emmerich 2016 12th International Conference on Natural Computation, Fuzzy Systems and …, 2016 | 22 | 2016 |
| Computing 3-D expected hypervolume improvement and related integrals in asymptotically optimal time K Yang, M Emmerich, A Deutz, CM Fonseca International Conference on Evolutionary Multi-Criterion Optimization, 685-700, 2017 | 17 | 2017 |
| Truncated expected hypervolume improvement: Exact computation and application K Yang, A Deutz, Z Yang, T Back, M Emmerich 2016 IEEE Congress on Evolutionary Computation (CEC), 4350-4357, 2016 | 16 | 2016 |
| Expected Hypervolume Improvement Algorithm for PID Controller Tuning and the Multiobjective Dynamical Control of a Biogas Plant K Yang, D Gaida, T Bäck, M Emmerich Evolutionary Computation (CEC), 2015 IEEE Congress on, 1934 - 1942, 2015 | 12 | 2015 |
| A new approach to target region based multiobjective evolutionary algorithms Y Wang, L Li, K Yang, MTM Emmerich 2017 IEEE Congress on Evolutionary Computation (CEC), 1757-1764, 2017 | 9 | 2017 |
| Power distribution network reconfiguration by evolutionary integer programming K Yang, MTM Emmerich, R Li, J Wang, T Bäck International Conference on Parallel Problem Solving from Nature, 11-23, 2014 | 8 | 2014 |
| Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient K Yang, M Emmerich, A Deutz, T Bäck Swarm and evolutionary computation 44, 945-956, 2019 | 6 | 2019 |
| Multi-objective aerodynamic design with user preference using truncated expected hypervolume improvement PS Palar, K Yang, K Shimoyama, M Emmerich, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 1333-1340, 2018 | 3 | 2018 |
| SMS-EMOA with multiple dynamic reference points Z Yang, H Wang, K Yang, T Back, M Emmerich Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016 …, 2016 | 3 | 2016 |
| Towards single-and multiobjective Bayesian global optimization for mixed integer problems K Yang, K van der Blom, T Bäck, M Emmerich AIP Conference Proceedings 2070 (1), 020044, 2019 | 2 | 2019 |
| Multi-objective Bayesian global optimization for continuous problems and applications K Yang Leiden University, 2017 | 2 | 2017 |
| A Review on the Algorithms of Distribution Network Reconfiguration K YANG, J WANG Southern Power System Technology, 22, 2013 | 2* | 2013 |
| Infill Criteria for Multiobjective Bayesian Optimization MTM Emmerich, K Yang, AH Deutz High-Performance Simulation-Based Optimization, 3-16, 2020 | 1 | 2020 |
| A multi-point mechanism of expected hypervolume improvement for parallel multi-objective bayesian global optimization K Yang, PS Palar, M Emmerich, K Shimoyama, T Bäck Proceedings of the Genetic and Evolutionary Computation Conference, 656-663, 2019 | 1 | 2019 |
| Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms K Yang, M Emmerich, A Deutz, T Bäck arXiv preprint arXiv:1904.12672, 2019 | 1 | 2019 |
| 基于 fuzzyTECH 智能小车神经模糊控制器的实现 杨凯峰， 王击， 彭辉 西北农林科技大学学报: 自然科学版 40 (12), 230-234, 2012 | 1 | 2012 |
| The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization A Deutz, M Emmerich, K Yang International Conference on Evolutionary Multi-Criterion Optimization, 359-370, 2019 | | 2019 |
| Towards multi-objective mixed integer evolution strategies K van der Blom, K Yang, T Bäck, M Emmerich AIP Conference Proceedings 2070 (1), 020046, 2019 | | 2019 |
Michael EmmerichAssociate Professor, LIACS, Leiden University & Jyväskyla University, Visiting ResearcherVerified email at liacs.nl
