Dimo Brockhoff
Dimo Brockhoff
Inria, Ecole Polytechnique, Institut Polytechnique de Paris
Verified email at inria.fr - Homepage
TitleCited byYear
The hypervolume indicator revisited: On the design of Pareto-compliant indicators via weighted integration
E Zitzler, D Brockhoff, L Thiele
Evolutionary Multi-Criterion Optimization, 862-876, 2007
4782007
Theory of the hypervolume indicator: optimal μ-distributions and the choice of the reference point
A Auger, J Bader, D Brockhoff, E Zitzler
Proceedings of the tenth ACM SIGEVO workshop on Foundations of genetic …, 2009
2812009
Are all objectives necessary? On dimensionality reduction in evolutionary multiobjective optimization
D Brockhoff, E Zitzler
Parallel Problem Solving from Nature-PPSN IX, 533-542, 2006
2282006
Objective reduction in evolutionary multiobjective optimization: theory and applications
D Brockhoff, E Zitzler
Evolutionary Computation 17 (2), 135-166, 2009
1572009
Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods
D Brockhoff, E Zitzler
Evolutionary Computation, 2007. CEC 2007. IEEE Congress on, 2086-2093, 2007
1242007
Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications
A Auger, J Bader, D Brockhoff, E Zitzler
Theoretical Computer Science 425, 75-103, 2012
1142012
On the Properties of the R2 Indicator
D Brockhoff, T Wagner, H Trautmann
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
1082012
Do additional objectives make a problem harder?
D Brockhoff, T Friedrich, N Hebbinghaus, C Klein, F Neumann, E Zitzler
Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007
1022007
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
N Hansen, A Auger, O Mersmann, T Tusar, D Brockhoff
arXiv preprint arXiv:1603.08785, 2016
992016
Analyzing hypervolume indicator based algorithms
D Brockhoff, T Friedrich, F Neumann
Parallel Problem Solving from Nature–PPSN X, 651-660, 2008
732008
On the effects of adding objectives to plateau functions
D Brockhoff, T Friedrich, N Hebbinghaus, C Klein, F Neumann, E Zitzler
IEEE Transactions on Evolutionary Computation 13 (3), 591-603, 2009
702009
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
A Auger, J Bader, D Brockhoff, E Zitzler
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
682009
R2-EMOA: Focused multiobjective search using R2-indicator-based selection
H Trautmann, T Wagner, D Brockhoff
Learning and Intelligent Optimization, 70-74, 2013
592013
Dimensionality reduction in multiobjective optimization: The minimum objective subset problem
D Brockhoff, E Zitzler
Operations Research Proceedings 2006, 423-429, 2007
582007
COCO: Performance Assessment
N Hansen, A Auger, D Brockhoff, D Tušar, T Tušar
arXiv preprint arXiv:1605.03560, 2016
512016
Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences
A Auger, J Bader, D Brockhoff, E Zitzler
Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009
472009
On handling a large number of objectives a posteriori and during optimization
D Brockhoff, DK Saxena, K Deb, E Zitzler
Multiobjective Problem Solving from Nature, 377-403, 2008
412008
R2 indicator-based multiobjective search
D Brockhoff, T Wagner, H Trautmann
Evolutionary computation 23 (3), 369-395, 2015
402015
Directed Multiobjective Optimization Based on the Weighted Hypervolume Indicator
D Brockhoff, J Bader, L Thiele, E Zitzler
Journal of Multi‐Criteria Decision Analysis 20 (5-6), 291-317, 2013
402013
Mirrored sampling and sequential selection for evolution strategies
D Brockhoff, A Auger, N Hansen, DV Arnold, T Hohm
Parallel Problem Solving from Nature, PPSN XI, 11-21, 2010
392010
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