Dimo Brockhoff

Tobias Wagner, Heike Trautmann, Dimo Brockhoff: Preference Articulation by Means of the R2 Indicator. EMO 2013: 81-95

Bilel Derbel, Dimo Brockhoff, Arnaud Liefooghe: Force-Based Cooperative Search Directions in Evolutionary Multi-objective Optimization. EMO 2013: 383-397

Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications. Theor. Comput. Sci. 425: 75-103 (2012)

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

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

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

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

Dimo Brockhoff, Tobias Wagner, Heike Trautmann: On the properties of the R2 indicator. GECCO 2012: 465-472

Dimo Brockhoff, Kalyanmoy Deb: GECCO 2012 tutorial on evolutionary multiobjective optimization. GECCO (Companion) 2012: 751-776

Dimo Brockhoff, Manuel López-Ibáñez, Boris Naujoks, Günter Rudolph: Runtime Analysis of Simple Interactive Evolutionary Biobjective Optimization Algorithms. PPSN (1) 2012: 123-132

Nora Touati Moungla, Dimo Brockhoff: An Evolutionary Algorithm for the Multiobjective Risk-Equity Constrained Routing Problem. CTW 2011: 263-266

Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Analyzing the impact of mirrored sampling and sequential selection in elitist evolution strategies. FOGA 2011: 127-138

Anne Auger, Dimo Brockhoff, Nikolaus Hansen: Mirrored sampling in evolution strategies with weighted recombination. GECCO 2011: 861-868

Dimo Brockhoff: Evolutionary multiobjective optimization. GECCO (Companion) 2011: 1111-1136

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

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

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

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

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

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

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

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

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

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

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

Dimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm: Mirrored Sampling and Sequential Selection for Evolution Strategies. PPSN (1) 2010: 11-21

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

Dimo Brockhoff: Optimal µ-Distributions for the Hypervolume Indicator for Problems with Linear Bi-objective Fronts: Exact and Exhaustive Results. SEAL 2010: 24-34

Dimo Brockhoff: Many objective optimization and hypervolume based search. ETH Zurich 2009, isbn 978-3-8322-8577-7, pp. 1-187

Dimo Brockhoff, Eckart Zitzler: Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications. Evolutionary Computation 17(2): 135-166 (2009)

Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler: On the Effects of Adding Objectives to Plateau Functions. IEEE Trans. Evolutionary Computation 13(3): 591-603 (2009)

Johannes Bader, Dimo Brockhoff, Samuel Welten, Eckart Zitzler: On Using Populations of Sets in Multiobjective Optimization. EMO 2009: 140-154

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

Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart Zitzler: Articulating user preferences in many-objective problems by sampling the weighted hypervolume. GECCO 2009: 555-562

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

Tamara Ulrich, Dimo Brockhoff, Eckart Zitzler: Pattern identification in pareto-set approximations. GECCO 2008: 737-744

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

Dimo Brockhoff, Tobias Friedrich, Frank Neumann: Analyzing Hypervolume Indicator Based Algorithms. PPSN 2008: 651-660

Dimo Brockhoff, Eckart Zitzler: Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. IEEE Congress on Evolutionary Computation 2007: 2086-2093

Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler: Do additional objectives make a problem harder? GECCO 2007: 765-772

Eckart Zitzler, Dimo Brockhoff, Lothar Thiele: The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. EMO 2006: 862-876

Dimo Brockhoff, Eckart Zitzler: Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem. OR 2006: 423-429

Dimo Brockhoff, Eckart Zitzler: Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. PPSN 2006: 533-542

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

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