Michael Emmerich

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Thomas BäckProfessor of Computer Science, Leiden University; Chief Scientist, NORCE Research Centre, NorwayVerified email at liacs.leidenuniv.nl
Boris NaujoksCologne University of Applied SciencesVerified email at fh-koeln.de
Hao WangAssistant Professor in Leiden UniversityVerified email at liacs.leidenuniv.nl
Iryna YevseyevaDe Montfort University, LeicesterVerified email at dmu.ac.uk
Kaifeng YangPostdoc, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Vitor Basto-FernandesISCTE-IULVerified email at iscte.pt
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Johannes KruisselbrinkBiometris, Wageningen University & ResearchVerified email at wur.nl
Koen van der BlomPostdoc, LIP6, Sorbonne UniversitéVerified email at sorbonne-universite.fr
Ofer M. ShirAssociate Professor of Computer Science, Tel-Hai College, Upper Galilee, IsraelVerified email at alumni.Princeton.EDU
Andreas BenderProfessor for Molecular Informatics in CambridgeVerified email at cam.ac.uk
Longmei LiLeiden Institute of Advanced Computer ScienceVerified email at liacs.leidenuniv.nl
Eelke van der HorstThe HyveVerified email at thehyve.nl
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Niki van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Jouke DijkstraAssociate professor, section leader vascular and molecular imaging, Leiden University Medical CenterVerified email at lumc.nl
Zhiwei YangNational University of Defence TehnologyVerified email at liacs.leidenuniv.nl
Carlos M. FonsecaDepartment of Informatics Engineering, University of CoimbraVerified email at dei.uc.pt
Aske PlaatLeiden UniversityVerified email at liacs.leidenuniv.nl
Hui WangPostdoc fellow, Paris University Dauphine-PSLVerified email at dauphine.psl.eu

Michael Emmerich

Associate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AI

Verified email at liacs.nl - Homepage

Multicriteria Optimization Complex Networks Gaussian Processes Sustainable Design Chemoinformatics


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SMS-EMOA: Multiobjective selection based on dominated hypervolume N Beume, B Naujoks, M Emmerich European Journal of Operational Research 181 (3), 1653-1669, 2007	1909	2007
An EMO algorithm using the hypervolume measure as selection criterion M Emmerich, N Beume, B Naujoks Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005	720	2005
Single-and multiobjective evolutionary optimization assisted by Gaussian random field metamodels MTM Emmerich, KC Giannakoglou, B Naujoks IEEE Transactions on Evolutionary Computation 10 (4), 421-439, 2006	667	2006
A tutorial on multiobjective optimization: fundamentals and evolutionary methods MTM Emmerich, AH Deutz Natural computing 17, 585-609, 2018	526	2018
Metamodel—Assisted evolution strategies M Emmerich, A Giotis, M Özdemir, T Bäck, K Giannakoglou Parallel Problem Solving from Nature—PPSN VII: 7th International Conference …, 2002	297	2002
Hypervolume-based expected improvement: Monotonicity properties and exact computation MTM Emmerich, AH Deutz, JW Klinkenberg 2011 IEEE Congress of Evolutionary Computation (CEC), 2147-2154, 2011	206	2011
On expected-improvement criteria for model-based multi-objective optimization T Wagner, M Emmerich, A Deutz, W Ponweiser Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 2010	155	2010
Single-and multi-objective evolutionary design optimization assisted by gaussian random field metamodels M Emmerich Dortmund, Univ., Diss., 2005, 2005	125	2005
The computation of the expected improvement in dominated hypervolume of Pareto front approximations M Emmerich, J Klinkenberg Rapport technique, Leiden University 34, 7-3, 2008	113	2008
Enhancing decision space diversity in evolutionary multiobjective algorithms OM Shir, M Preuss, B Naujoks, M Emmerich Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO …, 2009	112	2009
Multi-objective optimisation using S-metric selection: Application to three-dimensional solution spaces B Naujoks, N Beume, M Emmerich 2005 IEEE Congress on Evolutionary Computation 2, 1282-1289, 2005	107	2005
Adaptive niche radii and niche shapes approaches for niching with the CMA-ES OM Shir, M Emmerich, T Bäck Evolutionary computation 18 (1), 97-126, 2010	98	2010
Mixed integer evolution strategies for parameter optimization R Li, MTM Emmerich, J Eggermont, T Bäck, M Schütz, J Dijkstra, ... Evolutionary computation 21 (1), 29-64, 2013	90	2013
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	85	2019
Test problems based on Lamé superspheres MTM Emmerich, AH Deutz Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007	85	2007
Mixed-integer evolution strategy for chemical plant optimization with simulators M Emmerich, M Grötzner, B Groß, M Schütz Evolutionary Design and Manufacture: Selected Papers from ACDM’00, 55-67, 2000	80	2000
Surrogate‐assisted multicriteria optimization: Complexities, prospective solutions, and business case R Allmendinger, MTM Emmerich, J Hakanen, Y Jin, E Rigoni Journal of Multi‐Criteria Decision Analysis 24 (1-2), 5-24, 2017	77	2017
Robust multi-criteria design optimisation in building design CJ Hopfe, MTM Emmerich, R Marijt, J Hensen Proceedings of building simulation and optimization, Loughborough, UK, 118-125, 2012	75	2012
A new acquisition function for Bayesian optimization based on the moment-generating function H Wang, B van Stein, M Emmerich, T Back 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017	71	2017
Gradient-based/evolutionary relay hybrid for computing Pareto front approximations maximizing the S-metric M Emmerich, A Deutz, N Beume Hybrid Metaheuristics: 4th International Workshop, HM 2007, Dortmund …, 2007	71	2007

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