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Michael Emmerich
Michael Emmerich
Associate Professor, LIACS, Leiden University & Lead AI Scientist at SILO.AI
Geverifieerd e-mailadres voor liacs.nl - Homepage
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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
19092007
An EMO algorithm using the hypervolume measure as selection criterion
M Emmerich, N Beume, B Naujoks
Evolutionary Multi-Criterion Optimization: Third International Conference …, 2005
7192005
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
6672006
A tutorial on multiobjective optimization: fundamentals and evolutionary methods
MTM Emmerich, AH Deutz
Natural computing 17, 585-609, 2018
5242018
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
2972002
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
2052011
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
1552010
Single-and multi-objective evolutionary design optimization assisted by gaussian random field metamodels
M Emmerich
Dortmund, Univ., Diss., 2005, 2005
1242005
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
1132008
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
1122009
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
1072005
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
982010
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
902013
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
852019
Test problems based on Lamé superspheres
MTM Emmerich, AH Deutz
Evolutionary Multi-Criterion Optimization: 4th International Conference, EMO …, 2007
852007
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
802000
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
772017
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
752012
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
712007
Metamodel Assisted Multiobjective Opti-misation Strategies and their Application
M Emmerich, B Naujoks
Adaptive computing in design and manufacture VI, 249, 2004
712004
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Artikelen 1–20