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
Vitor Basto-FernandesISCTE-IULVerified email at iscte.pt
Kaifeng YangPostdoc, University of Applied Sciences Upper AustriaVerified email at fh-hagenberg.at
Rui LiLeiden University; Microsoft Research AsiaVerified email at microsoft.com
Mike PreussUniversiteit LeidenVerified email at liacs.leidenuniv.nl
Johannes KruisselbrinkBiometris, Wageningen University & ResearchVerified email at wur.nl
Koen van der BlomPostdoc, LIACS, Leiden UniversityVerified email at liacs.leidenuniv.nl
Ofer M. ShirAssociate Professor of Computer Science, Tel-Hai College, Upper Galilee, IsraelVerified email at alumni.Princeton.EDU
Andreas BenderCSO of Terra Lumina (https://www.terralumina.bio); Professor for Molecular Informatics in CambridgeVerified email at cam.ac.uk
Eelke van der HorstAmsterdam Medical CenterVerified email at lumc.nl
Longmei LiLeiden Institute of Advanced Computer ScienceVerified email at liacs.leidenuniv.nl
Jouke DijkstraAssociate professor, section leader vascular and molecular imaging, Leiden University Medical CenterVerified email at lumc.nl
Heike TrautmannProfessor of Data Science: Statistics and Optimization, Department of Information SystemsVerified email at wi.uni-muenster.de
Zhiwei YangNational University of Defence TehnologyVerified email at liacs.leidenuniv.nl
Bas van SteinLeiden UniversityVerified email at liacs.leidenuniv.nl
Aske PlaatLeidenVerified email at liacs.leidenuniv.nl
Carlos M. FonsecaDepartment of Informatics Engineering, University of CoimbraVerified email at dei.uc.pt

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	1714	2007
An EMO algorithm using the hypervolume measure as selection criterion M Emmerich, N Beume, B Naujoks International Conference on Evolutionary Multi-Criterion Optimization, 62-76, 2005	664	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	582	2006
A tutorial on multiobjective optimization: fundamentals and evolutionary methods M Emmerich, AH Deutz Natural computing 17 (3), 585-609, 2018	379	2018
Metamodel—assisted evolution strategies M Emmerich, A Giotis, M Özdemir, T Bäck, K Giannakoglou International Conference on parallel problem solving from nature, 361-370, 2002	283	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	168	2011
On expected-improvement criteria for model-based multi-objective optimization T Wagner, M Emmerich, A Deutz, W Ponweiser International Conference on Parallel Problem Solving from Nature, 718-727, 2010	140	2010
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	101	2005
Single-and multi-objective evolutionary design optimization assisted by gaussian random field metamodels M Emmerich Dortmund, Univ., Diss., 2005, 2005	100	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	99	2008
Enhancing decision space diversity in evolutionary multiobjective algorithms OM Shir, M Preuss, B Naujoks, M Emmerich International Conference on Evolutionary Multi-Criterion Optimization, 95-109, 2009	96	2009
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	93	2010
Mixed-integer evolution strategy for chemical plant optimization with simulators M Emmerich, M Grötzner, B Groß, M Schütz Evolutionary Design and Manufacture, 55-67, 2000	78	2000
Test problems based on Lamé superspheres M Emmerich, AH Deutz International Conference on Evolutionary Multi-Criterion Optimization, 922-936, 2007	77	2007
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	74	2013
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	68	2012
Design of graph-based evolutionary algorithms: A case study for chemical process networks M Emmerich, M Grötzner, M Schütz Evolutionary Computation 9 (3), 329-354, 2001	68	2001
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	67	2017
Metamodel assisted multiobjective optimisation strategies and their application in airfoil design M Emmerich, B Naujoks Adaptive computing in design and manufacture VI, 249-260, 2004	66	2004
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	65	2015

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