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2020 – today
- 2023
[c80]Mohamed Gharafi
, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche:
Multiobjective Optimization with a Quadratic Surrogate-assisted CMA-ES. GECCO 2023: 652-660- [c79]Dimo Brockhoff, Tea Tusar:
GECCO 2023 Tutorial on Benchmarking Multiobjective Optimizers 2.0. GECCO Companion 2023: 1183-1212 - [c78]Dimo Brockhoff, Pascal Capetillo, Jonathan Hornewall, Raphael Walker:
Benchmarking the Borg algorithm on the Biobjective bbob-biobj Testbed. GECCO Companion 2023: 1587-1594 - [c77]Dimo Brockhoff:
Comparing Boundary Handling Techniques of CMA-ES on the bbob and sbox-cost Test Suites. GECCO Companion 2023: 2318-2325 - [p3]Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse:
Introduction to Many-Criteria Optimization and Decision Analysis. Many-Criteria Optimization and Decision Analysis 2023: 3-28 - [e1]Dimo Brockhoff, Michael Emmerich, Boris Naujoks, Robin C. Purshouse:
Many-Criteria Optimization and Decision Analysis: State-of-the-Art, Present Challenges, and Future Perspectives. Natural Computing Series, Springer 2023, ISBN 978-3-031-25262-4 [contents] - 2022
- [j10]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites. Evol. Comput. 30(2): 165-193 (2022) - [j9]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Tea Tusar:
Anytime Performance Assessment in Blackbox Optimization Benchmarking. IEEE Trans. Evol. Comput. 26(6): 1293-1305 (2022) - [c76]Dimo Brockhoff, Tea Tusar:
GECCO 2022 tutorial on benchmarking multiobjective optimizers 2.0. GECCO Companion 2022: 1269-1309 - 2021
- [j8]Nikolaus Hansen, Anne Auger, Raymond Ros, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: a platform for comparing continuous optimizers in a black-box setting. Optim. Methods Softw. 36(1): 114-144 (2021) - [c75]Dimo Brockhoff, Tea Tusar:
Benchmarking multiobjective optimizers 2.0. GECCO Companion 2021: 664-668 - [c74]Dimo Brockhoff, Baptiste Plaquevent-Jourdain, Anne Auger, Nikolaus Hansen:
DMS and MultiGLODS: black-box optimization benchmarking of two direct search methods on the bbob-biobj test suite. GECCO Companion 2021: 1251-1258 - 2020
- [j7]Konstantinos Varelas, Ouassim Ait ElHara, Dimo Brockhoff, Nikolaus Hansen, Duc Manh Nguyen, Tea Tusar, Anne Auger:
Benchmarking large-scale continuous optimizers: The bbob-largescale testbed, a COCO software guide and beyond. Appl. Soft Comput. 97(Part): 106737 (2020)
2010 – 2019
- 2019
- [c73]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-objective Convex-Quadratic Problems. EMO 2019: 3-14 - [c72]Dimo Brockhoff:
Tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2019: 461-484 - [c71]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded hypervolume improvement: COMO-CMA-ES and the sofomore framework. GECCO 2019: 638-646 - [c70]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen:
Mixed-integer benchmark problems for single- and bi-objective optimization. GECCO 2019: 718-726 - [c69]Dimo Brockhoff, Tea Tusar:
Benchmarking algorithms from the platypus framework on the biobjective bbob-biobj testbed. GECCO (Companion) 2019: 1905-1911 - [c68]Dimo Brockhoff, Nikolaus Hansen:
The impact of sample volume in random search on the bbob test suite. GECCO (Companion) 2019: 1912-1919 - [i9]Ouassim Ait ElHara, Konstantinos Varelas, Duc Manh Nguyen, Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite. CoRR abs/1903.06396 (2019) - [i8]Cheikh Touré, Nikolaus Hansen, Anne Auger, Dimo Brockhoff:
Uncrowded Hypervolume Improvement: COMO-CMA-ES and the Sofomore framework. CoRR abs/1904.08823 (2019) - 2018
- [c67]Dimo Brockhoff:
GECCO 2018 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2018: 349-372 - [c66]Aurore Blelly, Matheus Felipe-Gomes, Anne Auger, Dimo Brockhoff:
Stopping criteria, initialization, and implementations of BFGS and their effect on the BBOB test suite. GECCO (Companion) 2018: 1513-1517 - [c65]Konstantinos Varelas, Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Ouassim Ait ElHara, Yann Semet, Rami Kassab, Frédéric Barbaresco:
A Comparative Study of Large-Scale Variants of CMA-ES. PPSN (1) 2018: 3-15 - [i7]Cheikh Toure, Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
On Bi-Objective convex-quadratic problems. CoRR abs/1812.00289 (2018) - 2017
- [j6]Dimo Brockhoff, Joshua D. Knowles, Boris Naujoks, Karthik Sindhya:
Editorial. Comput. Oper. Res. 79: 264-265 (2017) - [c64]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Tea Tusar:
Quantitative Performance Assessment of Multiobjective Optimizers: The Average Runtime Attainment Function. EMO 2017: 103-119 - [c63]Dimo Brockhoff:
GECCO 2017 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2017: 335-358 - 2016
- [c62]Dimo Brockhoff, Tobias Wagner:
GECCO 2016 Tutorial on Evolutionary Multiobjective Optimization. GECCO (Companion) 2016: 201-227 - [c61]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
GECCO'16 Black-Box Optimization Benchmarking Workshop (BBOB-2016): Workshop Chairs' Welcome Message. GECCO (Companion) 2016: 1167 - [c60]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking the Pure Random Search on the Bi-objective BBOB-2016 Testbed. GECCO (Companion) 2016: 1217-1223 - [c59]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Variation Operators on the Performance of SMS-EMOA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1225-1232 - [c58]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking MATLAB's gamultiobj (NSGA-II) on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1233-1239 - [c57]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
Benchmarking RM-MEDA on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1241-1247 - [c56]Anne Auger, Dimo Brockhoff, Nikolaus Hansen, Dejan Tusar, Tea Tusar, Tobias Wagner:
The Impact of Search Volume on the Performance of RANDOMSEARCH on the Bi-objective BBOB-2016 Test Suite. GECCO (Companion) 2016: 1257-1264 - [c55]Carola Doerr, Nicolas Bredèche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, Benjamin Doerr, Gusz Eiben, Michael G. Epitropakis, Carlos M. Fonseca, Andreia P. Guerreiro, Evert Haasdijk, Jacqueline Heinerman, Julien Hubert, Per Kristian Lehre, Luigi Malagò, Juan Julián Merelo Guervós, Julian Francis Miller, Boris Naujoks, Pietro S. Oliveto, Stjepan Picek, Nelishia Pillay, Mike Preuss, Patricia Ryser-Welch, Giovanni Squillero, Jörg Stork, Dirk Sudholt, Alberto Paolo Tonda, L. Darrell Whitley, Martin Zaefferer:
Tutorials at PPSN 2016. PPSN 2016: 1012-1022 - [i6]Nikolaus Hansen, Tea Tusar, Olaf Mersmann, Anne Auger, Dimo Brockhoff:
COCO: The Experimental Procedure. CoRR abs/1603.08776 (2016) - [i5]Nikolaus Hansen, Anne Auger, Olaf Mersmann, Tea Tusar, Dimo Brockhoff:
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting. CoRR abs/1603.08785 (2016) - [i4]Tea Tusar, Dimo Brockhoff, Nikolaus Hansen, Anne Auger:
COCO: The Bi-objective Black Box Optimization Benchmarking (bbob-biobj) Test Suite. CoRR abs/1604.00359 (2016) - [i3]Dimo Brockhoff, Tea Tusar, Dejan Tusar, Tobias Wagner, Nikolaus Hansen, Anne Auger:
Biobjective Performance Assessment with the COCO Platform. CoRR abs/1605.01746 (2016) - [i2]Nikolaus Hansen, Anne Auger, Dimo Brockhoff, Dejan Tusar, Tea Tusar:
COCO: Performance Assessment. CoRR abs/1605.03560 (2016) - 2015
- [j5]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
2 Indicator-Based Multiobjective Search. Evol. Comput. 23(3): 369-395 (2015) - [j4]Dimo Brockhoff, Bilel Derbel, Arnaud Liefooghe, Sébastien Vérel:
Feature Cluster on "Evolutionary multiobjective optimization". Eur. J. Oper. Res. 243(2): 345-346 (2015) - [c54]Dimo Brockhoff:
Comparison of the MATSuMoTo library for expensive optimization on the noiseless black-box Optimization Benchmarking testbed. CEC 2015: 2026-2033 - [c53]Dimo Brockhoff:
A Bug in the Multiobjective Optimizer IBEA: Salutary Lessons for Code Release and a Performance Re-Assessment. EMO (1) 2015: 187-201 - [c52]Dimo Brockhoff, Tobias Wagner:
Tutorial on Evolutionary Multiobjective Optimization. GECCO (Companion) 2015: 37-63 - [c51]Dimo Brockhoff, Thanh-Do Tran, Nikolaus Hansen:
Benchmarking Numerical Multiobjective Optimizers Revisited. GECCO 2015: 639-646 - [c50]Saúl Zapotecas Martínez, Bilel Derbel, Arnaud Liefooghe, Dimo Brockhoff, Hernán E. Aguirre, Kiyoshi Tanaka:
Injecting CMA-ES into MOEA/D. GECCO 2015: 783-790 - [c49]Dimo Brockhoff, Bernd Bischl, Tobias Wagner:
The Impact of Initial Designs on the Performance of MATSuMoTo on the Noiseless BBOB-2015 Testbed: A Preliminary Study. GECCO (Companion) 2015: 1159-1166 - 2014
- [c48]Dimo Brockhoff:
GECCO 2014 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2014: 297-322 - [c47]Dimo Brockhoff, Youssef Hamadi, Souhila Kaci:
Using Comparative Preference Statements in Hypervolume-Based Interactive Multiobjective Optimization. LION 2014: 121-136 - [c46]Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Vérel:
On the Impact of Multiobjective Scalarizing Functions. PPSN 2014: 548-558 - [i1]Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe, Sébastien Vérel:
On the Impact of Multiobjective Scalarizing Functions. CoRR abs/1409.5752 (2014) - 2013
- [c45]Tobias Wagner, Heike Trautmann, Dimo Brockhoff:
Preference Articulation by Means of the R2 Indicator. EMO 2013: 81-95 - [c44]Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe:
Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization. EMO 2013: 383-397 - [c43]Dimo Brockhoff:
GECCO 2013 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2013: 307-334 - [c42]Thanh-Do Tran, Dimo Brockhoff, Bilel Derbel:
Multiobjectivization with NSGA-ii on the noiseless BBOB testbed. GECCO (Companion) 2013: 1217-1224 - [c41]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the local metamodel CMA-ES on the noiseless BBOB'2013 test bed. GECCO (Companion) 2013: 1225-1232 - [c40]Heike Trautmann, Tobias Wagner, Dimo Brockhoff:
R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection. LION 2013: 70-74 - 2012
- [j3]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theor. Comput. Sci. 425: 75-103 (2012) - [c39]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the effect of mirroring in the IPOP active CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 277-284 - [c38]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of a small initial population size in the IPOP active CMA-ES with mirrored mutations on the noiseless BBOB testbed. GECCO (Companion) 2012: 285-290 - [c37]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
On the impact of active covariance matrix adaptation in the CMA-ES with mirrored mutations and small initial population size on the noiseless BBOB testbed. GECCO (Companion) 2012: 291-296 - [c36]Dimo Brockhoff, Anne Auger, Nikolaus Hansen:
Comparing mirrored mutations and active covariance matrix adaptation in the IPOP-CMA-ES on the noiseless BBOB testbed. GECCO (Companion) 2012: 297-304 - [c35]Dimo Brockhoff, Tobias Wagner, Heike Trautmann:
On the properties of the R2 indicator. GECCO 2012: 465-472 - [c34]Dimo Brockhoff, Kalyanmoy Deb:
GECCO 2012 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2012: 751-776 - [c33]Dimo Brockhoff, Manuel López-Ibáñez, Boris Naujoks, Günter Rudolph:
Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms. PPSN (1) 2012: 123-132 - 2011
- [c32]Nora Touati Moungla, Dimo Brockhoff:
An Evolutionary Algorithm for the Multiobjective Risk-Equity Constrained Routing Problem. CTW 2011: 263-266 - [c31]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA 2011: 127-138 - [c30]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored sampling in evolution strategies with weighted recombination. GECCO 2011: 861-868 - [c29]Dimo Brockhoff:
Evolutionary multiobjective optimization. GECCO (Companion) 2011: 1111-1136 - [p2]Dimo Brockhoff:
Theoretical Aspects of Evolutionary Multiobjective Optimization. Theory of Randomized Search Heuristics 2011: 101-139 - 2010
- [c28]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1543-1550 - [c27]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1551-1558 - [c26]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1559-1566 - [c25]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1575-1582 - [c24]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1583-1590 - [c23]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1591-1596 - [c22]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1597-1604 - [c21]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1605-1610 - [c20]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1611-1616 - [c19]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. GECCO (Companion) 2010: 1617-1624 - [c18]Anne Auger, Dimo Brockhoff, Nikolaus Hansen:
Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. GECCO (Companion) 2010: 1625-1632 - [c17]Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm:
Mirrored Sampling and Sequential Selection for Evolution Strategies. PPSN (1) 2010: 11-21 - [c16]Anne Auger, Johannes Bader, Dimo Brockhoff:
Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. PPSN (1) 2010: 586-596 - [c15]Dimo Brockhoff:
Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results. SEAL 2010: 24-34
2000 – 2009
- 2009
- [b1]Dimo Brockhoff:
Many objective optimization and hypervolume based search. ETH Zurich, 2009, ISBN 978-3-8322-8577-7, pp. 1-187 - [j2]Dimo Brockhoff, Eckart Zitzler:
Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications. Evol. Comput. 17(2): 135-166 (2009) - [j1]Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler:
On the Effects of Adding Objectives to Plateau Functions. IEEE Trans. Evol. Comput. 13(3): 591-603 (2009) - [c14]Johannes Bader, Dimo Brockhoff, Samuel Welten, Eckart Zitzler:
On Using Populations of Sets in Multiobjective Optimization. EMO 2009: 140-154 - [c13]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point. FOGA 2009: 87-102 - [c12]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Articulating user preferences in many-objective problems by sampling the weighted hypervolume. GECCO 2009: 555-562 - [c11]Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler:
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. GECCO 2009: 563-570 - 2008
- [c10]Tamara Ulrich, Dimo Brockhoff, Eckart Zitzler:
Pattern identification in pareto-set approximations. GECCO 2008: 737-744 - [c9]Matthias Woehrle, Dimo Brockhoff, Tim Hohm, Stefan Bleuler:
Investigating Coverage and Connectivity Trade-offs in Wireless Sensor Networks: The Benefits of MOEAs. MCDM 2008: 211-221 - [c8]Dimo Brockhoff, Tobias Friedrich, Frank Neumann:
Analyzing Hypervolume Indicator Based Algorithms. PPSN 2008: 651-660 - [p1]Dimo Brockhoff, Dhish Kumar Saxena, Kalyanmoy Deb, Eckart Zitzler:
On Handling a Large Number of Objectives A Posteriori and During Optimization. Multiobjective Problem Solving from Nature 2008: 377-403 - 2007
- [c7]Dimo Brockhoff, Eckart Zitzler:
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. IEEE Congress on Evolutionary Computation 2007: 2086-2093 - [c6]Eckart Zitzler, Dimo Brockhoff, Lothar Thiele:
The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. EMO 2007: 862-876 - [c5]Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler:
Do additional objectives make a problem harder? GECCO 2007: 765-772 - 2006
- [c4]Dimo Brockhoff, Eckart Zitzler:
Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem. OR 2006: 423-429 - [c3]Dimo Brockhoff, Eckart Zitzler:
Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. PPSN 2006: 533-542 - 2004
- [c2]Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener:
Experimental Supplements to the Theoretical Analysis of EAs on Problems from Combinatorial Optimization. PPSN 2004: 21-30 - [c1]Patrick Briest, Dimo Brockhoff, Bastian Degener, Matthias Englert, Christian Gunia, Oliver Heering, Thomas Jansen, Michael Leifhelm, Kai Plociennik, Heiko Röglin, Andrea Schweer, Dirk Sudholt, Stefan Tannenbaum, Ingo Wegener:
The Ising Model: Simple Evolutionary Algorithms as Adaptation Schemes. PPSN 2004: 31-40
Coauthor Index
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