Michael T. M. Emmerich

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 38

Top Topics

Evolutionary Algorithm

Multiobjective Optimization

Top Venues

Appl. Soft Comput.

Publications

Michael T. M. Emmerich, André H. Deutz
Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies. CoRR (2024)
Juhuhn Kim, Michael T. M. Emmerich, Robert H. M. Voors, Barend Ording, Jong-Seok Lee
A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data. Remote. Sens. 15 (13) (2023)
André H. Deutz, Michael T. M. Emmerich, Hao Wang
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. CoRR (2022)
Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
On the Construction of Pareto-Compliant Combined Indicators. Evol. Comput. 30 (3) (2022)
Xuhan Liu, Kai Ye, Herman W. T. van Vlijmen, Michael T. M. Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen
DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology. J. Cheminformatics 13 (1) (2021)
Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. CoRR (2020)
Yali Wang, André H. Deutz, Thomas Bäck, Michael T. M. Emmerich
Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders. CoRR (2020)
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. 27 (4) (2019)
David Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, Cas van der Horst, Laura H. Heitman, Michael T. M. Emmerich, José Ramon Méndez, Iryna Yevseyeva, Gerard J. P. van Westen
A multiple classifier system identifies novel cannabinoid CB2 receptor ligands. J. Cheminformatics 11 (1) (2019)
David Ruano-Ordás, Iryna Yevseyeva, Vítor Basto Fernandes, José Ramon Méndez, Michael T. M. Emmerich
Improving the drug discovery process by using multiple classifier systems. Expert Syst. Appl. 121 (2019)
Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms. CEC (2019)
Iryna Yevseyeva, Eelke B. Lenselink, Alice de Vries, Adriaan P. IJzerman, André H. Deutz, Michael T. M. Emmerich
Application of portfolio optimization to drug discovery. Inf. Sci. 475 (2019)
Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
On the construction of pareto-compliant quality indicators. GECCO (Companion) (2019)
Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. CEC (2019)
Sjonnie Boonstra, Koen van der Blom, Hèrm Hofmeyer, Michael T. M. Emmerich, Jos van Schijndel, Pieter de Wilde
Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation. Adv. Eng. Informatics 36 (2018)
Yassine Baghoussi, João Mendes-Moreira, Michael T. M. Emmerich
Updating a robust optimization model for improving bus schedules. COMSNETS (2018)
Michael T. M. Emmerich, André H. Deutz
A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Nat. Comput. 17 (3) (2018)
Gisele Lobo Pappa, Michael T. M. Emmerich, Ana L. C. Bazzan, Will N. Browne, Kalyanmoy Deb, Carola Doerr, Marko Durasevic, Michael G. Epitropakis, Saemundur O. Haraldsson, Domagoj Jakobovic, Pascal Kerschke, Krzysztof Krawiec, Per Kristian Lehre, Xiaodong Li, Andrei Lissovoi, Pekka Malo, Luis Martí, Yi Mei, Juan Julián Merelo Guervós, Julian F. Miller, Alberto Moraglio, Antonio J. Nebro, Su Nguyen, Gabriela Ochoa, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Marc Schoenauer, Roman Senkerik, Ankur Sinha, Ofer M. Shir, Dirk Sudholt, L. Darrell Whitley, Mark Wineberg, John R. Woodward, Mengjie Zhang
Tutorials at PPSN 2018. PPSN (2) (2018)
Jiaqi Zhao, Licheng Jiao, Shixiong Xia, Vítor Basto Fernandes, Iryna Yevseyeva, Yong Zhou, Michael T. M. Emmerich
Multiobjective sparse ensemble learning by means of evolutionary algorithms. Decis. Support Syst. 111 (2018)
Jiaqi Zhao, Licheng Jiao, Fang Liu, Vítor Basto Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich
3D fast convex-hull-based evolutionary multiobjective optimization algorithm. Appl. Soft Comput. 67 (2018)
Karl Bringmann, Sergio Cabello, Michael T. M. Emmerich
Maximum Volume Subset Selection for Anchored Boxes. CoRR (2018)
Vítor Basto Fernandes, Iryna Yevseyeva, José Ramon Méndez, Jiaqi Zhao, Florentino Fdez-Riverola, Michael T. M. Emmerich
Corrigendum to "A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification" [Applied Soft Computing Volume 48 (2016) 111-123]. Appl. Soft Comput. 55 (2017)
Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR (2017)
Jiaqi Zhao, Vítor Basto Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
Corrigendum to 'Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms' [Information Sciences volumes 367-368 (2016) 80-104]. Inf. Sci. 403 (2017)
Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich
A new approach to target region based multiobjective evolutionary algorithms. CEC (2017)
Asep Maulana, Michael T. M. Emmerich
Towards many-objective optimization of eigenvector centrality in multiplex networks. CoDIT (2017)
Asep Maulana, Marios Kefalas, Michael T. M. Emmerich
Immunization of networks using genetic algorithms and multiobjective metaheuristics. SSCI (2017)
Karl Bringmann, Sergio Cabello, Michael T. M. Emmerich
Maximum Volume Subset Selection for Anchored Boxes. SoCG (2017)
Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
Time complexity reduction in efficient global optimization using cluster kriging. GECCO (2017)
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich
Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. CEC (2017)
Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich
Truncated expected hypervolume improvement: Exact computation and application. CEC (2016)
Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich
Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. PPSN (2016)
Hao Wang, Michael T. M. Emmerich, Thomas Bäck
Balancing risk and expected gain in kriging-based global optimization. CEC (2016)
Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE (2016)
Longmei Li, Iryna Yevseyeva, Vítor Basto Fernandes, Heike Trautmann, Ning Jing, Michael T. M. Emmerich
An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. CoRR (2016)
Jiaqi Zhao, Vítor Basto Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. Inf. Sci. (2016)
Vítor Basto Fernandes, Iryna Yevseyeva, José Ramon Méndez, Jiaqi Zhao, Florentino Fdez-Riverola, Michael T. M. Emmerich
A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification. Appl. Soft Comput. 48 (2016)
Maren Urselmann, Christophe Foussette, Tim Janus, Stephen Tlatlik, Axel Gottschalk, Michael T. M. Emmerich, Sebastian Engell, Thomas Bäck
Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis. GECCO (2016)
Xiaoke Zhang, Jun Wu, Cuiying Duan, Michael T. M. Emmerich, Thomas Bäck
Towards robustness optimization of complex networks based on redundancy backup. CEC (2015)
Rafael Z. Frantz, Sandro Sawicki, Fabricia Roos-Frantz, Iryna Yevseyeva, Michael T. M. Emmerich
On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems. ICEIS (2) (2015)
Wilco Verhoef, André H. Deutz, Michael T. M. Emmerich
On Gradient-Based and Swarm-Based Algorithms for Set-Oriented Bicriteria Optimization. EVOLVE (2015)
Hao Wang, Yiyi Ren, André H. Deutz, Michael T. M. Emmerich
On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization. NEO (2015)
Iris Hupkens, André H. Deutz, Kaifeng Yang, Michael T. M. Emmerich
Faster Exact Algorithms for Computing Expected Hypervolume Improvement. EMO (2) (2015)
Michael T. M. Emmerich, André H. Deutz, Iryna Yevseyeva
A Bayesian Approach to Portfolio Selection in Multicriteria Group Decision Making. CENTERIS/ProjMAN/HCist (2015)
Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich
Reducing complexity in many objective optimization using community detection. CEC (2015)
Fernando Rosa-Sequeira, Rafael Z. Frantz, Iryna Yevseyeva, Michael T. M. Emmerich, Vítor Basto Fernandes
An EAI Based Integration Solution for Science and Research Outcomes Information Management. CENTERIS/ProjMAN/HCist (2015)
Asep Maulana, André H. Deutz, Erik A. Schultes, Michael T. M. Emmerich
Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks. EVOLVE (2015)
Vítor Basto Fernandes, Iryna Yevseyeva, David Ruano-Ordás, Jiaqi Zhao, Florentino Fdez-Riverola, José Ramon Méndez, Michael T. M. Emmerich
Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity. EVOLVE (2015)
Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen
Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. 29 (2015)
Alexander Nezhinsky, Michael T. M. Emmerich
Parameter Identification of Stochastic Gene Regulation Models by Indicator-Based Evolutionary Level Set Approximation. EVOLVE (2015)
Hao Wang, Thomas Bäck, Michael T. M. Emmerich
Multi-point Efficient Global Optimization Using Niching Evolution Strategy. EVOLVE (2015)
Sander van Rijn, Michael T. M. Emmerich, Edgar Reehuis, Thomas Bäck
Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm. CEC (2015)
Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca
A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms. PPSN (2014)
Jiaqi Zhao, Vítor Basto Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich
Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm. CoRR (2014)
Iris Hupkens, Michael T. M. Emmerich, André H. Deutz
Faster Computation of Expected Hypervolume Improvement. CoRR (2014)
Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
Power Distribution Network Reconfiguration by Evolutionary Integer Programming. PPSN (2014)
Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Thomas Bäck, Martin Schütz, Jouke Dijkstra, Johan H. C. Reiber
Mixed Integer Evolution Strategies for Parameter Optimization. Evol. Comput. 21 (1) (2013)
Andreia P. Guerreiro, Carlos M. Fonseca, Michael T. M. Emmerich
A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions. CCCG (2012)
Hernando Sanchez-Faddeev, Michael T. M. Emmerich, Fons J. Verbeek, Andrew H. Henry, Simon Grimshaw, Herman P. Spaink, Herman W. T. van Vlijmen, Andreas Bender
Using Multiobjective Optimization and Energy Minimization to Design an Isoform-Selective Ligand of the 14-3-3 Protein. ISoLA (2) (2012)
Stefan Wink, Thomas Bäck, Michael T. M. Emmerich
A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem. IEEE Congress on Evolutionary Computation (2012)
Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron
Problem-Specific Search Operators for Metaheuristic Software Architecture Design. SSBSE (2012)
Eelke van der Horst, Patricia Marqués-Gallego, Thea Mulder-Krieger, Jacobus van Veldhoven, Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Johannes Brussee, Andreas Bender, Adriaan P. IJzerman
Multi-Objective Evolutionary Design of Adenosine Receptor Ligands. J. Chem. Inf. Model. 52 (7) (2012)
Michael T. M. Emmerich, Carlos M. Fonseca
Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results. EMO (2011)
Michael T. M. Emmerich, André H. Deutz, Jan Willem Klinkenberg
Hypervolume-based expected improvement: Monotonicity properties and exact computation. IEEE Congress on Evolutionary Computation (2011)
Rui Li, Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron
An evolutionary multiobjective optimization approach to component-based software architecture design. IEEE Congress on Evolutionary Computation (2011)
Johannes W. Kruisselbrink, Michael T. M. Emmerich, André H. Deutz, Thomas Bäck
A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES. IEEE Congress on Evolutionary Computation (2010)
Eelke van der Horst, Julio E. Peironcely, Adriaan P. IJzerman, Margot W. Beukers, Jonathan Robert Lane, Herman W. T. van Vlijmen, Michael T. M. Emmerich, Yasushi Okuno, Andreas Bender
A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization. BMC Bioinform. 11 (2010)
Eelke van der Horst, Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Andreas Bender, Adriaan P. IJzerman
Evolutionary design of selective adenosine receptor ligands. J. Cheminformatics 2 (S-1) (2010)
Alexander v. d. Kuijl, Michael T. M. Emmerich, Hui Li
A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation. Concurr. Comput. Pract. Exp. 22 (3) (2010)
Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich
Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. EMO (2009)
Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck, Andreas Bender, Adriaan P. IJzerman, Eelke van der Horst
Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design. EMO (2009)
Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck
On the limitations of adaptive resampling in using the student's t-test evolution strategies. GECCO (Companion) (2009)
Juan Chen, Michael T. M. Emmerich, Rui Li, Joost N. Kok, Thomas Bäck
How to Do Recombination in Evolution Strategies: An Empirical Study. IWINAC (1) (2009)
Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck, Eelke van der Horst
Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching. GECCO (2009)
Jeroen Eggermont, Rui Li, Ernst G. P. Bovenkamp, Henk A. Marquering, Michael T. M. Emmerich, Aad van der Lugt, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning. EvoWorkshops (2008)
Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis. IEEE Congress on Evolutionary Computation (2008)
Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Mixed-Integer Evolution Strategies with Dynamic Niching. PPSN (2008)
Jan Willem Klinkenberg, Michael T. M. Emmerich, André H. Deutz, Ofer M. Shir, Thomas Bäck
A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. MCDM (2008)
Alexander v. d. Kuijl, Michael T. M. Emmerich, Hui Li
A novel multi-objective optimization scheme for grid resource allocation. MGC (2008)
Rui Li, Jeroen Eggermont, Michael T. M. Emmerich, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis. EvoWorkshops (2007)
Michael T. M. Emmerich, André H. Deutz, Nicola Beume
Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric. Hybrid Metaheuristics (2007)
Nicola Beume, Boris Naujoks, Michael T. M. Emmerich
SMS-EMOA: Multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. 181 (3) (2007)
Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
Mixed-Integer NK Landscapes. PPSN (2006)
Michael T. M. Emmerich, André H. Deutz
Test Problems Based on Lamé Superspheres. EMO (2006)
Michael T. M. Emmerich, Kyriakos C. Giannakoglou, Boris Naujoks
Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. IEEE Trans. Evol. Comput. 10 (4) (2006)
Boris Naujoks, Nicola Beume, Michael T. M. Emmerich
Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces. Congress on Evolutionary Computation (2005)