RESEARCHER PROFILE
Michael Emmerich
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University of Jyväskylä
Michael Emmerich works in Advanced Multi-Objective Optimization Algorithms, Metaheuristic Optimization Algorithms Research, Evolutionary Algorithms and Applications, Advanced Optimization Algorithms Research, Japanese History and Culture. Recorded institutional associations include Leiden University, University of Jyväskylä.
358Publications
9,838Citations
42H-index
Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.
Selected research works
Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.
SMS-EMOA: Multiobjective selection based on dominated hypervolume
2006 · 2,048 citationsSingle- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels
2006 · 759 citationsA tutorial on multiobjective optimization: fundamentals and evolutionary methods
2018 · 731 citationsAn EMO Algorithm Using the Hypervolume Measure as Selection Criterion
2005 · 604 citationsMetamodel—Assisted Evolution Strategies
2002 · 221 citationsHypervolume-based expected improvement: Monotonicity properties and exact computation
2011 · 200 citationsMulti-Objective Bayesian Global Optimization using expected hypervolume improvement gradient
2018 · 155 citationsOn Expected-Improvement Criteria for Model-based Multi-objective Optimization
2010 · 122 citationsDrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology
2021 · 114 citationsMixed Integer Evolution Strategies for Parameter Optimization
2011 · 104 citationsEfficient computation of expected hypervolume improvement using box decomposition algorithms
2019 · 101 citationsThe Tale of Genji
2013 · 96 citationsAdaptive Niche Radii and Niche Shapes Approaches for Niching with the CMA-ES
2010 · 94 citationsEnhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms
2009 · 93 citationsArtificial intelligence in multi-objective drug design
2023 · 91 citationsSurrogate-assisted multicriteria optimization: Complexities, prospective solutions, and business case
2017 · 88 citationsClimate targets in European timber-producing countries conflict with goals on forest ecosystem services and biodiversity
2023 · 82 citationsGradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric
2007 · 75 citationsThe computation of the expected improvement in dominated hypervolume of Pareto front approximations
2008 · 73 citationsA new acquisition function for Bayesian optimization based on the moment-generating function
2017 · 72 citationsMulti-objective Optimisation using S-metric Selection: Application to three-dimensional Solution Spaces
2005 · 71 citationsA Multicriteria Generalization of Bayesian Global Optimization
2016 · 67 citationsSelf-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets
2017 · 67 citationsTest Problems Based on Lamé Superspheres
2007 · 64 citationsFaster Exact Algorithms for Computing Expected Hypervolume Improvement
2015 · 64 citations