André H. Deutz

61 papers A 2B 3C 10Misc 1Journal 22Unranked 16
YearRankTypeTitle / 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
2025 J jnl
A Newton Method for Hausdorff Approximations of the Pareto Front Within Multiobjective Evolutionary Algorithms.
IEEE Trans. Evol. Comput.
Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
2025 J jnl
An Alignment Method and a Dissimilarity Measure for 3D Building Spatial Designs.
IEEE Access
Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Hèrm Hofmeyer, Tessa Ezendam, Thomas Bäck
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 — conf
Hot Off the Press: A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.
GECCO Companion
Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
2024 J jnl
A Newton Method for Hausdorff Approximations of the Pareto Front within Multi-objective Evolutionary Algorithms.
CoRR
Hao Wang, Angel E. Rodriguez-Fernandez, Lourdes Uribe, André H. Deutz, Oziel Cortés-Piña, Oliver Schütze
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
2023 C ed.
Evolutionary Multi-Criterion Optimization - 12th International Conference, EMO 2023, Leiden, The Netherlands, March 20-24, 2023, Proceedings
EMO
Michael Emmerich, André H. Deutz, Hao Wang, Anna V. Kononova, Boris Naujoks, Ke Li, Kaisa Miettinen, Iryna Yevseyeva
2023 — ch.
Identifying Correlations in Understanding and Solving Many-Objective Optimisation Problems.
Many-Criteria Optimization and Decision Analysis
Tinkle Chugh, António Gaspar-Cunha, André H. Deutz, João A. Duro, Daniel C. Oara, Alma A. M. Rahat
2023 — ch.
Many-Criteria Dominance Relations.
Many-Criteria Optimization and Decision Analysis
André H. Deutz, Michael Emmerich, Yali Wang
2023 J jnl
Preface.
Nat. Comput.
Michael Emmerich, André H. Deutz, Iryna Yevseyeva
2023 C conf
The Hypervolume Indicator Hessian Matrix: Analytical Expression, Computational Time Complexity, and Sparsity.
EMO
André H. Deutz, Michael Emmerich, Hao Wang
2023 C conf
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design.
EMO
Ksenia Pereverdieva, Michael Emmerich, André H. Deutz, Tessa Ezendam, Thomas Bäck, Hèrm Hofmeyer
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
Peeking beyond peaks: Challenges and research potentials of continuous multimodal multi-objective optimization.
Comput. Oper. Res.
Christian Grimme, Pascal Kerschke, Pelin Aspar, Heike Trautmann, Mike Preuss, André H. Deutz, Hao Wang, Michael Emmerich
2021 J jnl
Preface to the special issue dedicated to the 14th international workshop on global optimization held in Leiden, The Netherlands, September 18-21, 2018.
J. Glob. Optim.
André H. Deutz, Michael Emmerich, Yaroslav D. Sergeyev, Iryna Yevseyeva
2020 — conf
Edge-Rotated Cone Orders in Multi-objective Evolutionary Algorithms for Improved Convergence and Preference Articulation.
SSCI
Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2020 — conf
Improving Many-Objective Evolutionary Algorithms by Means of Edge-Rotated Cones.
PPSN (2)
Yali Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
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
2020 J jnl
The Set-Based Hypervolume Newton Method for Bi-Objective Optimization.
IEEE Trans. Cybern.
Víctor Adrián Sosa-Hernández, Oliver Schütze, Hao Wang, André H. Deutz, Michael Emmerich
2019 J jnl
A Simple Proof of Vyalyi's Theorem and some Generalizations.
Electron. Colloquium Comput. Complex.
Lieuwe Vinkhuijzen, André H. Deutz
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 C conf
Diversity-Indicator Based Multi-Objective Evolutionary Algorithm: DI-MOEA.
EMO
Yali Wang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 J jnl
Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms.
CoRR
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 J jnl
Efficient computation of expected hypervolume improvement using box decomposition algorithms.
J. Glob. Optim.
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
2019 J jnl
Multi-Objective Bayesian Global Optimization using expected hypervolume improvement gradient.
Swarm Evol. Comput.
Kaifeng Yang, Michael Emmerich, André H. Deutz, Thomas Bäck
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 C conf
The Expected R2-Indicator Improvement for Multi-objective Bayesian Optimization.
EMO
André H. Deutz, Michael Emmerich, Kaifeng Yang
2018 J jnl
A tutorial on multiobjective optimization: fundamentals and evolutionary methods.
Nat. Comput.
Michael T. M. Emmerich, André H. Deutz
2017 C conf
Computing 3-D Expected Hypervolume Improvement and Related Integrals in Asymptotically Optimal Time.
EMO
Kaifeng Yang, Michael Emmerich, André H. Deutz, Carlos M. Fonseca
2017 C conf
Hypervolume Indicator Gradient Ascent Multi-objective Optimization.
EMO
Hao Wang, André H. Deutz, Thomas Bäck, Michael Emmerich
2016 — ch.
A Multicriteria Generalization of Bayesian Global Optimization.
Advances in Stochastic and Deterministic Global Optimization
Michael Emmerich, Kaifeng Yang, André H. Deutz, Hao Wang, Carlos M. Fonseca
2016 — conf
Preference-based multiobjective optimization using truncated expected hypervolume improvement.
ICNC-FSKD
Kaifeng Yang, Longmei Li, André H. Deutz, Thomas Bäck, Michael Emmerich
2016 A conf
Towards Analyzing Multimodality of Continuous Multiobjective Landscapes.
PPSN
Pascal Kerschke, Hao Wang, Mike Preuss, Christian Grimme, André H. Deutz, Heike Trautmann, Michael Emmerich
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
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 — conf
Faster Exact Algorithms for Computing Expected Hypervolume Improvement.
EMO (2)
Iris Hupkens, André H. Deutz, Kaifeng Yang, 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
2014 J jnl
Faster Computation of Expected Hypervolume Improvement.
CoRR
Iris Hupkens, Michael T. M. Emmerich, André H. Deutz
2013 C conf
A Theoretical Analysis of Curvature Based Preference Models.
EMO
Pradyumn Kumar Shukla, Michael Emmerich, André H. Deutz
2013 C conf
Cone-Based Hypervolume Indicators: Construction, Properties, and Efficient Computation.
EMO
Michael Emmerich, André H. Deutz, Johannes W. Kruisselbrink, Pradyumn Kumar Shukla
2013 — ch.
On Quality Indicators for Black-Box Level Set Approximation.
EVOLVE
Michael T. M. Emmerich, André H. Deutz, Johannes W. Kruisselbrink
2012 — conf
Time Complexity and Zeros of the Hypervolume Indicator Gradient Field.
EVOLVE (III)
Michael Emmerich, André H. Deutz
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
2011 A conf
Using the uncertainty handling CMA-ES for finding robust optima.
GECCO
Johannes W. Kruisselbrink, Edgar Reehuis, André H. Deutz, Thomas Bäck, Michael Emmerich
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 — conf
Exploiting Overlap When Searching for Robust Optima.
PPSN (1)
Johannes W. Kruisselbrink, Michael Emmerich, André H. Deutz, Thomas Bäck
2010 — conf
Getting lost or getting trapped: on the effect of moves toincomparable points in multiobjective hillclimbing.
GECCO (Companion)
Michael Emmerich, André H. Deutz, Rui Li, Johannes W. Kruisselbrink
2010 — conf
On Expected-Improvement Criteria for Model-based Multi-objective Optimization.
PPSN (1)
Tobias Wagner, Michael Emmerich, André H. Deutz, Wolfgang Ponweiser
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
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 Misc conf
High Spies (or How to Win a Programming Contest).
FUN
André H. Deutz, Rudy van Vliet, Hendrik Jan Hoogeboom
2007 C conf
Test Problems Based on Lamé Superspheres.
EMO
Michael T. M. Emmerich, André H. Deutz
1994 J jnl
Clans and Regions in 2-Structures.
Theor. Comput. Sci.
André H. Deutz, Andrzej Ehrenfeucht, Grzegorz Rozenberg
1994 J jnl
Hyperedge Channels are Abelian.
Theor. Comput. Sci.
André H. Deutz, Andrzej Ehrenfeucht, Grzegorz Rozenberg