Publications - Many-Objective Optimization

[1 — bz2010a]

J. Bader and E. Zitzler. Robustness in Hypervolume-based Multiobjective Search. TIK Report 317, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, 2010. (PDF) (bibtex)

[2 — bdz2008a]

J. Bader, K. Deb, and E. Zitzler. Faster Hypervolume-based Search using Monte Carlo Sampling. In M. Ehrgott et al., editors, Conference on Multiple Criteria Decision Making (MCDM 2008), volume 634 of LNEMS, pages 313–326, Heidelberg, Germany, 2010. (bibtex)

[3 — bz2009d]

J. Bader and E. Zitzler. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization. Evolutionary Computation, page no appear, 2009. to appear. (bibtex)

[4 — bfhk2009a]

D. Brockhoff, T. Friedrich, N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler. On the Effects of Adding Objectives to Plateau Functions. IEEE Transactions on Evolutionary Computation, 13(3):591–603, 2009. (doi) (bibtex)

[5 — bz2009c]

D. Brockhoff and E. Zitzler. Objective Reduction in Evolutionary Multiobjective Optimization: Theory and Applications. Evolutionary Computation, 17(2):135–166, 2009. (PDF) (bibtex) (suppl. material)

[6 — broc2009b]

D. Brockhoff. Many-Objective Optimization and Hypervolume-Based Search. PhD thesis, ETH Zurich, 2009. (bibtex)

[7 — bz2009a]

D. Brockhoff and E. Zitzler. Automated Aggregation and Omission of Objectives to Handle Many-Objective Problems. In Conference on Multiple Objective and Goal Programming (MOPGP 2008), Lecture Notes in Economics and Mathematical Systems. Springer, 2009. to appear. (bibtex)

[8 — bz2009b]

J. Bader and E. Zitzler. A Hypervolume-Based Optimizer for High-Dimensional Objective Spaces. In Conference on Multiple Objective and Goal Programming (MOPGP 2008), Lecture Notes in Economics and Mathematical Systems. Springer, 2009. (PDF) (bibtex) (suppl. material)

[9 — bz2008a]

J. Bader and E. Zitzler. HypE: An Algorithm for Fast Hypervolume-Based Many-Objective Optimization. TIK Report 286, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, November 2008. (PDF) (bibtex) (suppl. material)

[10 — bsdz2007a]

D. Brockhoff, D. K. Saxena, K. Deb, and E. Zitzler. On Handling a Large Number of Objectives A Posteriori and During Optimization. In J. Knowles, D. Corne, and K. Deb, editors, Multiobjective Problem Solving from Nature: From Concepts to Applications, pages 377–403. Springer, 2007. (doi) (bibtex) (online access) (suppl. material)

[11 — bz2007c]

D. Brockhoff and E. Zitzler. Improving Hypervolume-based Multiobjective Evolutionary Algorithms by Using Objective Reduction Methods. In Congress on Evolutionary Computation (CEC 2007), pages 2086–2093. IEEE Press, 2007. (PDF) (bibtex) (suppl. material)

[12 — bfhk2007a]

D. Brockhoff, T. Friedrich, N. Hebbinghaus, C. Klein, F. Neumann, and E. Zitzler. Do Additional Objectives Make a Problem Harder?. In D. Thierens et al., editors, Genetic and Evolutionary Computation Conference (GECCO 2007), pages 765–772, New York, NY, USA, 2007. ACM Press. (PDF) (bibtex) (online access)

[13 — bz2007d]

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. Springer, 2007. (PDF) (bibtex) (online access) (suppl. material)

[14 — bz2007a]

D. Brockhoff and E. Zitzler. Offline and Online Objective Reduction in Evolutionary Multiobjective Optimization Based on Objective Conflicts. TIK Report 269, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, April 2007. (PDF) (bibtex) (suppl. material)

[15 — bz2006d]

D. Brockhoff and E. Zitzler. Are All Objectives Necessary? On Dimensionality Reduction in Evolutionary Multiobjective Optimization. In T. P. Runarsson et al., editors, Conference on Parallel Problem Solving from Nature (PPSN IX), volume 4193 of LNCS, pages 533–542, Berlin, Germany, 2006. Springer. (PDF) (bibtex) (online access) (suppl. material)

[16 — bz2006c]

D. Brockhoff and E. Zitzler. Dimensionality Reduction in Multiobjective Optimization with (Partial) Dominance Structure Preservation: Generalized Minimum Objective Subset Problems. TIK Report 247, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, April 2006. (PDF) (bibtex) (suppl. material)

[17 — bz2006a]

D. Brockhoff and E. Zitzler. On Objective Conflicts and Objective Reduction in Multiple Criteria Optimization. TIK Report 243, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, February 2006. (PDF) (bibtex) (suppl. material)

[18 — dtlz2005a]

K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization. In A. Abraham, R. Jain, and R. Goldberg, editors, Evolutionary Multiobjective Optimization: Theoretical Advances and Applications, chapter 6, pages 105–145. Springer, 2005. (bibtex) (online access)

[19 — dtlz2002a]

K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Multi-Objective Optimization Test Problems. In Congress on Evolutionary Computation (CEC 2002), pages 825–830. IEEE Press, 2002. (PDF) (bibtex)

[20 — dtlz2001a]

K. Deb, L. Thiele, M. Laumanns, and E. Zitzler. Scalable Test Problems for Evolutionary Multi-Objective Optimization. TIK Report 112, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, July 2001. (PDF) (bibtex)