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Publications of Author

1. Eckart Zitzler, Dimo Brockhoff, Lothar Thiele
   The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. [Citation Graph (0, 0)][DBLP]
   EMO, 2006, pp:862-876 [Conf]
   
2. 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. [Citation Graph (0, 0)][DBLP]
   PPSN, 2004, pp:21-30 [Conf]
   
3. Dimo Brockhoff, Eckart Zitzler
   Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. [Citation Graph (0, 0)][DBLP]
   PPSN, 2006, pp:533-542 [Conf]
   
4. 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. [Citation Graph (0, 0)][DBLP]
   PPSN, 2004, pp:31-40 [Conf]
   
5. Dimo Brockhoff, Tobias Friedrich, Nils Hebbinghaus, Christian Klein, Frank Neumann, Eckart Zitzler
   Do additional objectives make a problem harder? [Citation Graph (0, 0)][DBLP]
   GECCO, 2007, pp:765-772 [Conf]
   
6. 
   On Using Populations of Sets in Multiobjective Optimization. [Citation Graph (, )][DBLP]
   
   
7. 
   Pattern identification in pareto-set approximations. [Citation Graph (, )][DBLP]
   
   
8. 
   Articulating user preferences in many-objective problems by sampling the weighted hypervolume. [Citation Graph (, )][DBLP]
   
   
9. 
   Investigating and exploiting the bias of the weighted hypervolume to articulate user preferences. [Citation Graph (, )][DBLP]
   
   
10. 
    Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
11. 
    Mirrored variants of the (1, 2)-CMA-ES compared on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
12. 
    Investigating the impact of sequential selection in the (1, 4)-CMA-ES on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
13. 
    Comparing the (1+1)-CMA-ES with a mirrored (1+2)-CMA-ES with sequential selection on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
14. 
    Mirrored variants of the (1, 2)-CMA-ES compared on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
15. 
    Mirrored variants of the (1, 4)-CMA-ES compared on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
16. 
    Mirrored variants of the (1, 4)-CMA-ES compared on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
17. 
    Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
18. 
    Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
19. 
    Benchmarking the (1, 4)-CMA-ES with mirrored sampling and sequential selection on the noisy BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
20. 
    Investigating the impact of sequential selection in the (1, 2)-CMA-ES on the noiseless BBOB-2010 testbed. [Citation Graph (, )][DBLP]
    
    
21. 
    Analyzing Hypervolume Indicator Based Algorithms. [Citation Graph (, )][DBLP]
    
    
22. 
    Mirrored Sampling and Sequential Selection for Evolution Strategies. [Citation Graph (, )][DBLP]
    
    
23. 
    Theoretically Investigating Optimal µ-Distributions for the Hypervolume Indicator: First Results for Three Objectives. [Citation Graph (, )][DBLP]
    
    
24. 
    Improving hypervolume-based multiobjective evolutionary algorithms by using objective reduction methods. [Citation Graph (, )][DBLP]
    
    
25. 
    Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem. [Citation Graph (, )][DBLP]
    
    
26. 
    Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications. [Citation Graph (, )][DBLP]