1. D. Brockhoff, T. Friedrich, N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler. Do Additional Objectives Make a Problem Harder?. In D. Thierens and others, editors, Genetic and Evolutionary Computation Conference (GECCO 2007), New York, NY, USA, pages 765--772, 2007. ACM Press. [WWW ] [bibtex-entry]



2. D. Brockhoff and E. Zitzler. Dimensionality Reduction in Multiobjective Optimization: The Minimum Objective Subset Problem. In K. H. Waldmann and U. M. Stocker, editors, Operations Research Proceedings 2006, pages 423--429, 2007. Springer. [WWW ] [bibtex-entry]



3. D. Brockhoff and E. Zitzler. Improving Hypervolume-based Multiobjective Evolutionary Algorithms by Using Objective Reduction Methods. In Congress on Evolutionary Computation (CEC 2007), 2007.
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4. E. Zitzler, D. Brockhoff, and L. Thiele. The Hypervolume Indicator Revisited: On the Design of Pareto-compliant Indicators Via Weighted Integration. In S. Obayashi and others, editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2007), volume 4403 of LNCS, Berlin, pages 862--876, 2007. Springer. [WWW ] [bibtex-entry]



5. D. Brockhoff and E. Zitzler. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. In T. P. Runarsson and others, editors, Conference on Parallel Problem Solving from Nature (PPSN IX), volume 4193 of LNCS, Berlin, Germany, pages 533--542, 2006. Springer. [WWW ] [bibtex-entry]

1. D. Brockhoff and E. Zitzler. Offline and Online Objective Reduction in Evolutionary Multiobjective Optimization Based on Objective Conflicts. TIK Report 269, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, April 2007. [bibtex-entry]



2. D. Brockhoff and E. Zitzler. On Objective Conflicts and Objective Reduction in Multiple Criteria Optimization. TIK Report 243, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, february 2006. [bibtex-entry]



3. D. Brockhoff and E. Zitzler. Dimensionality Reduction in Multiobjective Optimization with (Partial) Dominance Structure Preservation: Generalized Minimum Objective Subset Problems. TIK Report 247, Institut für Technische Informatik und Kommunikationsnetze, ETH Zürich, April 2006. [bibtex-entry]

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