Michael T. M. Emmerich

100 papers A* 1A 8B 17C 5Misc 2Journal 38Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximating optimal μ -point distributions over a generalized sphere for Riesz s -energy using a gradient descent algorithm. Inf. Sci. Mahboubeh Nezhadmoghaddam, Julio Juárez, Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, André H. Deutz
2026	J	`jnl`	Critical phase transitions in minimum-energy configurations for the exponential kernel family e CoRR Michael T. M. Emmerich
2026	J	`jnl`	Fast High-Diversity Subset Selection for Multiobjective Optimization by Riesz s-Energy. IEEE Trans. Evol. Comput. Jesús Guillermo Falcón-Cardona, Julio Juárez, Luis A. Márquez-Vega, Michael T. M. Emmerich
2025	—	`conf`	Comparative Analysis of Indicators for Multi-objective Diversity Optimization. EMO (2) Ksenia Pereverdieva, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael T. M. Emmerich
2025	J	`jnl`	Correlated Mutations for Integer Programming. CoRR Ofer M. Shir, Michael T. M. Emmerich
2025	J	`jnl`	Multiobjective Mixed-Integer Quadratic Models: A Study on Mathematical Programming and Evolutionary Computation. IEEE Trans. Evol. Comput. Ofer M. Shir, Michael T. M. Emmerich
2024	Misc	`conf`	A Lean Simulator for Recoverable Robustness Assessment of Power Distribution Networks. CSIT Michael T. M. Emmerich, Yulian Kuryliak, Dmytro Dosyn
2024	J	`jnl`	Comparative Analysis of Indicators for Multiobjective Diversity Optimization. CoRR Ksenia Pereverdieva, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer, Michael T. M. Emmerich
2024	J	`jnl`	Multicriteria Optimization and Decision Making: Principles, Algorithms and Case Studies. CoRR Michael T. M. Emmerich, André H. Deutz
2024	—	`ed.`	Proceedings of the Modern Data Science Technologies Workshop (MoDaST-2024), Lviv, Ukraine, May 31 - June 1, 2024. MoDaST Michael T. M. Emmerich, Vasyl Lytvyn, Victoria Vysotska
2023	J	`jnl`	A Systematic Approach to Identify Shipping Emissions Using Spatio-Temporally Resolved TROPOMI Data. Remote. Sens. Juhuhn Kim, Michael T. M. Emmerich, Robert H. M. Voors, Barend Ording, Jong-Seok Lee
2022	J	`jnl`	On the Construction of Pareto-Compliant Combined Indicators. Evol. Comput. Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
2022	J	`jnl`	The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity. CoRR André H. Deutz, Michael T. M. Emmerich, Hao Wang
2021	J	`jnl`	DrugEx v2: de novo design of drug molecules by Pareto-based multi-objective reinforcement learning in polypharmacology. J. Cheminformatics Xuhan Liu, Kai Ye, Herman W. T. van Vlijmen, Michael T. M. Emmerich, Adriaan P. IJzerman, Gerard J. P. van Westen
2020	J	`jnl`	A Tailored NSGA-III Instantiation for Flexible Job Shop Scheduling. CoRR Yali Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2020	J	`jnl`	Improving Many-objective Evolutionary Algorithms by Means of Expanded Cone Orders. CoRR Yali Wang, André H. Deutz, Thomas Bäck, Michael T. M. Emmerich
2020	—	`ch.`	Infill Criteria for Multiobjective Bayesian Optimization. High-Performance Simulation-Based Optimization Michael T. M. Emmerich, Kaifeng Yang, André H. Deutz
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part I PPSN (1) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2020	—	`ed.`	Parallel Problem Solving from Nature - PPSN XVI - 16th International Conference, PPSN 2020, Leiden, The Netherlands, September 5-9, 2020, Proceedings, Part II PPSN (2) Thomas Bäck, Mike Preuss, André H. Deutz, Hao Wang, Carola Doerr, Michael T. M. Emmerich, Heike Trautmann
2019	J	`jnl`	A multiple classifier system identifies novel cannabinoid CB2 receptor ligands. J. Cheminformatics David Ruano-Ordás, Lindsey Burggraaff, Rongfang Liu, Cas van der Horst, Laura H. Heitman, Michael T. M. Emmerich, José Ramón Méndez, Iryna Yevseyeva, Gerard J. P. van Westen
2019	J	`jnl`	Application of portfolio optimization to drug discovery. Inf. Sci. Iryna Yevseyeva, Eelke B. Lenselink, Alice de Vries, Adriaan P. IJzerman, André H. Deutz, Michael T. M. Emmerich
2019	J	`jnl`	Improving the drug discovery process by using multiple classifier systems. Expert Syst. Appl. David Ruano-Ordás, Iryna Yevseyeva, Vitor Basto-Fernandes, José Ramón Méndez, Michael T. M. Emmerich
2019	B	`conf`	On the Cooperation of Multiple Indicator-based Multi-Objective Evolutionary Algorithms. CEC Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
2019	—	`conf`	On the construction of pareto-compliant quality indicators. GECCO (Companion) Jesús Guillermo Falcón-Cardona, Michael T. M. Emmerich, Carlos A. Coello Coello
2019	J	`jnl`	Search Dynamics on Multimodal Multiobjective Problems. Evol. Comput. Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael T. M. Emmerich
2019	B	`conf`	Vehicle Fleet Maintenance Scheduling Optimization by Multi-objective Evolutionary Algorithms. CEC Yali Wang, Steffen Limmer, Markus Olhofer, Michael T. M. Emmerich, Thomas Bäck
2018	J	`jnl`	3D fast convex-hull-based evolutionary multiobjective optimization algorithm. Appl. Soft Comput. Jiaqi Zhao, Licheng Jiao, Fang Liu, Vitor Basto-Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich
2018	J	`jnl`	A tutorial on multiobjective optimization: fundamentals and evolutionary methods. Nat. Comput. Michael T. M. Emmerich, André H. Deutz
2018	J	`jnl`	Maximum Volume Subset Selection for Anchored Boxes. CoRR Karl Bringmann, Sergio Cabello, Michael T. M. Emmerich
2018	J	`jnl`	Multiobjective sparse ensemble learning by means of evolutionary algorithms. Decis. Support Syst. Jiaqi Zhao, Licheng Jiao, Shixiong Xia, Vitor Basto-Fernandes, Iryna Yevseyeva, Yong Zhou, Michael T. M. Emmerich
2018	J	`jnl`	Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation. Adv. Eng. Informatics Sjonnie Boonstra, Koen van der Blom, Hèrm Hofmeyer, Michael T. M. Emmerich, Jos van Schijndel, Pieter de Wilde
2018	—	`conf`	Tutorials at PPSN 2018. PPSN (2) 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
2018	Misc	`conf`	Updating a robust optimization model for improving bus schedules. COMSNETS Yassine Baghoussi, João Mendes-Moreira, Michael T. M. Emmerich
2017	B	`conf`	A new approach to target region based multiobjective evolutionary algorithms. CEC Yali Wang, Longmei Li, Kaifeng Yang, Michael T. M. Emmerich
2017	J	`jnl`	Cluster-based Kriging Approximation Algorithms for Complexity Reduction. CoRR Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2017	B	`conf`	Configuring advanced evolutionary algorithms for multicriteria building spatial design optimisation. CEC Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Thomas Bäck, Michael T. M. Emmerich
2017	J	`jnl`	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. Vitor Basto-Fernandes, Iryna Yevseyeva, José Ramón Méndez, Jiaqi Zhao, Florentino Fdez-Riverola, Michael T. M. Emmerich
2017	J	`jnl`	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. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2017	—	`conf`	Immunization of networks using genetic algorithms and multiobjective metaheuristics. SSCI Asep Maulana, Marios Kefalas, Michael T. M. Emmerich
2017	A*	`conf`	Maximum Volume Subset Selection for Anchored Boxes. SoCG Karl Bringmann, Sergio Cabello, Michael T. M. Emmerich
2017	A	`conf`	Time complexity reduction in efficient global optimization using cluster kriging. GECCO Hao Wang, Bas van Stein, Michael T. M. Emmerich, Thomas Bäck
2017	C	`conf`	Towards many-objective optimization of eigenvector centrality in multiplex networks. CoDIT Asep Maulana, Michael T. M. Emmerich
2016	J	`jnl`	A spam filtering multi-objective optimization study covering parsimony maximization and three-way classification. Appl. Soft Comput. Vitor Basto-Fernandes, Iryna Yevseyeva, José Ramón Méndez, Jiaqi Zhao, Florentino Fdez-Riverola, Michael T. M. Emmerich
2016	J	`jnl`	An Ontology of Preference-Based Multiobjective Evolutionary Algorithms. CoRR Longmei Li, Iryna Yevseyeva, Vitor Basto-Fernandes, Heike Trautmann, Ning Jing, Michael T. M. Emmerich
2016	B	`conf`	Balancing risk and expected gain in kriging-based global optimization. CEC Hao Wang, Michael T. M. Emmerich, Thomas Bäck
2016	B	`conf`	Fuzzy clustering for Optimally Weighted Cluster Kriging. FUZZ-IEEE Bas van Stein, Hao Wang, Wojtek Kowalczyk, Michael T. M. Emmerich, Thomas Bäck
2016	A	`conf`	Multicriteria Building Spatial Design with Mixed Integer Evolutionary Algorithms. PPSN Koen van der Blom, Sjonnie Boonstra, Hèrm Hofmeyer, Michael T. M. Emmerich
2016	J	`jnl`	Multiobjective optimization of classifiers by means of 3D convex-hull-based evolutionary algorithms. Inf. Sci. Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Ke Tang, Michael T. M. Emmerich
2016	A	`conf`	Selection of a DFO Method for the Efficient Solution of Continuous Constrained Sub-Problems within a Memetic Algorithm for Chemical Process Synthesis. GECCO Maren Urselmann, Christophe Foussette, Tim Janus, Stephen Tlatlik, Axel Gottschalk, Michael T. M. Emmerich, Sebastian Engell, Thomas Bäck
2016	B	`conf`	Truncated expected hypervolume improvement: Exact computation and application. CEC Kaifeng Yang, André H. Deutz, Zhiwei Yang, Thomas Bäck, Michael T. M. Emmerich
2015	—	`conf`	A Bayesian Approach to Portfolio Selection in Multicriteria Group Decision Making. CENTERIS/ProjMAN/HCist Michael T. M. Emmerich, André H. Deutz, Iryna Yevseyeva
2015	—	`conf`	An EAI Based Integration Solution for Science and Research Outcomes Information Management. CENTERIS/ProjMAN/HCist Fernando Rosa-Sequeira, Rafael Z. Frantz, Iryna Yevseyeva, Michael T. M. Emmerich, Vitor Basto-Fernandes
2015	—	`conf`	Community Detection in NK Landscapes - An Empirical Study of Complexity Transitions in Interactive Networks. EVOLVE Asep Maulana, André H. Deutz, Erik A. Schultes, Michael T. M. Emmerich
2015	J	`jnl`	Efficient multi-criteria optimization on noisy machine learning problems. Appl. Soft Comput. Patrick Koch, Tobias Wagner, Michael T. M. Emmerich, Thomas Bäck, Wolfgang Konen
2015	—	`conf`	Faster Exact Algorithms for Computing Expected Hypervolume Improvement. EMO (2) Iris Hupkens, André H. Deutz, Kaifeng Yang, Michael T. M. Emmerich
2015	—	`conf`	Multi-point Efficient Global Optimization Using Niching Evolution Strategy. EVOLVE Hao Wang, Thomas Bäck, Michael T. M. Emmerich
2015	—	`conf`	On Gradient-Based and Swarm-Based Algorithms for Set-Oriented Bicriteria Optimization. EVOLVE Wilco Verhoef, André H. Deutz, Michael T. M. Emmerich
2015	—	`conf`	On Steering Dominated Points in Hypervolume Indicator Gradient Ascent for Bi-Objective Optimization. NEO Hao Wang, Yiyi Ren, André H. Deutz, Michael T. M. Emmerich
2015	—	`conf`	On using Markov Decision Processes to Model Integration Solutions for Disparate Resources in Software Ecosystems. ICEIS (2) Rafael Z. Frantz, Sandro Sawicki, Fabricia Roos-Frantz, Iryna Yevseyeva, Michael T. M. Emmerich
2015	B	`conf`	Optimizing Highly Constrained Truck Loadings Using a Self-Adaptive Genetic Algorithm. CEC Sander van Rijn, Michael T. M. Emmerich, Edgar Reehuis, Thomas Bäck
2015	—	`conf`	Parameter Identification of Stochastic Gene Regulation Models by Indicator-Based Evolutionary Level Set Approximation. EVOLVE Alexander Nezhinsky, Michael T. M. Emmerich
2015	—	`conf`	Quadcriteria Optimization of Binary Classifiers: Error Rates, Coverage, and Complexity. EVOLVE Vitor Basto-Fernandes, Iryna Yevseyeva, David Ruano-Ordás, Jiaqi Zhao, Florentino Fdez-Riverola, José Ramón Méndez, Michael T. M. Emmerich
2015	B	`conf`	Reducing complexity in many objective optimization using community detection. CEC Asep Maulana, Zhongzhou Jiang, Jing Liu, Thomas Bäck, Michael T. M. Emmerich
2015	B	`conf`	Towards robustness optimization of complex networks based on redundancy backup. CEC Xiaoke Zhang, Jun Wu, Cuiying Duan, Michael T. M. Emmerich, Thomas Bäck
2014	A	`conf`	A Portfolio Optimization Approach to Selection in Multiobjective Evolutionary Algorithms. PPSN Iryna Yevseyeva, Andreia P. Guerreiro, Michael T. M. Emmerich, Carlos M. Fonseca
2014	J	`jnl`	Faster Computation of Expected Hypervolume Improvement. CoRR Iris Hupkens, Michael T. M. Emmerich, André H. Deutz
2014	J	`jnl`	Multiobjective Optimization of Classifiers by Means of 3-D Convex Hull Based Evolutionary Algorithm. CoRR Jiaqi Zhao, Vitor Basto-Fernandes, Licheng Jiao, Iryna Yevseyeva, Asep Maulana, Rui Li, Thomas Bäck, Michael T. M. Emmerich
2014	A	`conf`	Power Distribution Network Reconfiguration by Evolutionary Integer Programming. PPSN Kaifeng Yang, Michael T. M. Emmerich, Rui Li, Ji Wang, Thomas Bäck
2013	J	`jnl`	Mixed Integer Evolution Strategies for Parameter Optimization. Evol. Comput. Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Thomas Bäck, Martin Schütz, Jouke Dijkstra, Johan H. C. Reiber
2013	—	`ch.`	On Quality Indicators for Black-Box Level Set Approximation. EVOLVE Michael T. M. Emmerich, André H. Deutz, Johannes W. Kruisselbrink
2012	—	`conf`	A Fast Dimension-Sweep Algorithm for the Hypervolume Indicator in Four Dimensions. CCCG Andreia P. Guerreiro, Carlos M. Fonseca, Michael T. M. Emmerich
2012	B	`conf`	A meta-genetic algorithm for solving the Capacitated Vehicle Routing Problem. IEEE Congress on Evolutionary Computation Stefan Wink, Thomas Bäck, Michael T. M. Emmerich
2012	J	`jnl`	Multi-Objective Evolutionary Design of Adenosine Receptor Ligands. J. Chem. Inf. Model. 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
2012	B	`conf`	Problem-Specific Search Operators for Metaheuristic Software Architecture Design. SSBSE Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron
2012	—	`conf`	Using Multiobjective Optimization and Energy Minimization to Design an Isoform-Selective Ligand of the 14-3-3 Protein. ISoLA (2) 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
2011	B	`conf`	An evolutionary multiobjective optimization approach to component-based software architecture design. IEEE Congress on Evolutionary Computation Rui Li, Ramin Etemaadi, Michael T. M. Emmerich, Michel R. V. Chaudron
2011	C	`conf`	Computing Hypervolume Contributions in Low Dimensions: Asymptotically Optimal Algorithm and Complexity Results. EMO Michael T. M. Emmerich, Carlos M. Fonseca
2011	B	`conf`	Hypervolume-based expected improvement: Monotonicity properties and exact computation. IEEE Congress on Evolutionary Computation Michael T. M. Emmerich, André H. Deutz, Jan Willem Klinkenberg
2010	J	`jnl`	A novel chemogenomics analysis of G protein-coupled receptors (GPCRs) and their ligands: a potential strategy for receptor de-orphanization. BMC Bioinform. 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
2010	J	`jnl`	A robust multi-objective resource allocation scheme incorporating uncertainty and service differentiation. Concurr. Comput. Pract. Exp. Alexander v. d. Kuijl, Michael T. M. Emmerich, Hui Li
2010	B	`conf`	A robust optimization approach using Kriging metamodels for robustness approximation in the CMA-ES. IEEE Congress on Evolutionary Computation Johannes W. Kruisselbrink, Michael T. M. Emmerich, André H. Deutz, Thomas Bäck
2010	J	`jnl`	Evolutionary design of selective adenosine receptor ligands. J. Cheminformatics Eelke van der Horst, Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Andreas Bender, Adriaan P. IJzerman
2009	C	`conf`	Combining Aggregation with Pareto Optimization: A Case Study in Evolutionary Molecular Design. EMO Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck, Andreas Bender, Adriaan P. IJzerman, Eelke van der Horst
2009	C	`conf`	Enhancing Decision Space Diversity in Evolutionary Multiobjective Algorithms. EMO Ofer M. Shir, Mike Preuss, Boris Naujoks, Michael T. M. Emmerich
2009	A	`conf`	Enhancing search space diversity in multi-objective evolutionary drug molecule design using niching. GECCO Johannes W. Kruisselbrink, Alexander Aleman, Michael T. M. Emmerich, Adriaan P. IJzerman, Andreas Bender, Thomas Bäck, Eelke van der Horst
2009	—	`conf`	How to Do Recombination in Evolution Strategies: An Empirical Study. IWINAC (1) Juan Chen, Michael T. M. Emmerich, Rui Li, Joost N. Kok, Thomas Bäck
2009	—	`conf`	On the limitations of adaptive resampling in using the student's t-test evolution strategies. GECCO (Companion) Johannes W. Kruisselbrink, Michael T. M. Emmerich, Thomas Bäck
2008	—	`conf`	A Reduced-Cost SMS-EMOA Using Kriging, Self-Adaptation, and Parallelization. MCDM Jan Willem Klinkenberg, Michael T. M. Emmerich, André H. Deutz, Ofer M. Shir, Thomas Bäck
2008	—	`conf`	A novel multi-objective optimization scheme for grid resource allocation. MGC Alexander v. d. Kuijl, Michael T. M. Emmerich, Hui Li
2008	B	`conf`	Metamodel-assisted mixed integer evolution strategies and their application to intravascular ultrasound image analysis. IEEE Congress on Evolutionary Computation Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008	A	`conf`	Mixed-Integer Evolution Strategies with Dynamic Niching. PPSN Rui Li, Jeroen Eggermont, Ofer M. Shir, Michael T. M. Emmerich, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2008	—	`conf`	Optimizing Computed Tomographic Angiography Image Segmentation Using Fitness Based Partitioning. EvoWorkshops 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
2007	—	`conf`	Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric. Hybrid Metaheuristics Michael T. M. Emmerich, André H. Deutz, Nicola Beume
2007	J	`jnl`	SMS-EMOA: Multiobjective selection based on dominated hypervolume. Eur. J. Oper. Res. Nicola Beume, Boris Naujoks, Michael T. M. Emmerich
2007	C	`conf`	Test Problems Based on Lamé Superspheres. EMO Michael T. M. Emmerich, André H. Deutz
2007	—	`conf`	Towards Dynamic Fitness Based Partitioning for IntraVascular UltraSound Image Analysis. EvoWorkshops Rui Li, Jeroen Eggermont, Michael T. M. Emmerich, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	A	`conf`	Mixed-Integer NK Landscapes. PPSN Rui Li, Michael T. M. Emmerich, Jeroen Eggermont, Ernst G. P. Bovenkamp, Thomas Bäck, Jouke Dijkstra, Johan H. C. Reiber
2006	J	`jnl`	Single- and multiobjective evolutionary optimization assisted by Gaussian random field metamodels. IEEE Trans. Evol. Comput. Michael T. M. Emmerich, Kyriakos C. Giannakoglou, Boris Naujoks
2005	B	`conf`	Multi-objective optimisation using S-metric selection: application to three-dimensional solution spaces. Congress on Evolutionary Computation Boris Naujoks, Nicola Beume, Michael T. M. Emmerich
2005	—	`—`	Single- and multi-objective evolutionary design optimization assisted by gaussian random field metamodels Michael T. M. Emmerich