| 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 | 573 | 2007 |
| 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 | 325 | 2009 |
| 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 | 246 | 2006 |
| Objective reduction in evolutionary multiobjective optimization: theory and applications D Brockhoff, E Zitzler Evolutionary Computation 17 (2), 135-166, 2009 | 182 | 2009 |
| Hypervolume-based multiobjective optimization: Theoretical foundations and practical implications A Auger, J Bader, D Brockhoff, E Zitzler Theoretical Computer Science 425, 75-103, 2012 | 142 | 2012 |
| 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 | 139 | 2007 |
| On the Properties of the R2 Indicator D Brockhoff, T Wagner, H Trautmann Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012 | 132 | 2012 |
| COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting T Tušar, N Hansen, A Auger, R Ros, O Mersmann, D Brockhoff Optimization Methods and Software, 1-31, 2020 | 123 | 2020 |
| 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 | 123* | 2016 |
| 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 | 113 | 2007 |
| Analyzing hypervolume indicator based algorithms D Brockhoff, T Friedrich, F Neumann Parallel Problem Solving from Nature–PPSN X, 651-660, 2008 | 86 | 2008 |
| 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 | 78 | 2009 |
| 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 | 74 | 2009 |
| R2-EMOA: Focused multiobjective search using R2-indicator-based selection H Trautmann, T Wagner, D Brockhoff Learning and Intelligent Optimization, 70-74, 2013 | 69 | 2013 |
| COCO: Performance Assessment N Hansen, A Auger, D Brockhoff, D Tušar, T Tušar arXiv preprint arXiv:1605.03560, 2016 | 63 | 2016 |
| Dimensionality reduction in multiobjective optimization: The minimum objective subset problem D Brockhoff, E Zitzler Operations Research Proceedings 2006, 423-429, 2007 | 62 | 2007 |
| 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 | 54 | 2009 |
| R2 indicator-based multiobjective search D Brockhoff, T Wagner, H Trautmann Evolutionary computation 23 (3), 369-395, 2015 | 51 | 2015 |
| 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 | 48 | 2013 |
| 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 | 46 | 2010 |
Anne AugerInria, CMAP Ecole Polytechnique, IP ParisVerified email at inria.fr
