Michael Emmerich
Michael Emmerich
Associate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AI
Verified email at liacs.nl - Homepage
Title
Cited by
Cited by
Year
SMS-EMOA: Multiobjective selection based on dominated hypervolume
N Beume, B Naujoks, M Emmerich
European Journal of Operational Research 181 (3), 1653-1669, 2007
15622007
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
6322005
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
5032006
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
2612002
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
MTM Emmerich, AH Deutz
Natural computing 17 (3), 585-609, 2018
2402018
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
1312011
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
1292010
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
992005
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
902010
Single-and multi-objective evolutionary design optimization assisted by gaussian random field metamodels
M Emmerich
dissertation, Universität Dortmund, 2005
902005
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
882008
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
842009
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
772000
Test problems based on Lamé superspheres
MTM Emmerich, AH Deutz
International Conference on Evolutionary Multi-Criterion Optimization, 922-936, 2007
732007
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
652013
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
642001
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
632004
Computing hypervolume contributions in low dimensions: Asymptotically optimal algorithm and complexity results
MTM Emmerich, CM Fonseca
International Conference on Evolutionary Multi-criterion Optimization, 121-135, 2011
622011
Gradient-based/evolutionary relay hybrid for computing Pareto front approximations maximizing the S-metric
M Emmerich, A Deutz, N Beume
International Workshop on Hybrid Metaheuristics, 140-156, 2007
622007
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
592012
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