Publications - Performance Assessment

[1 — broc2009c]

D. Brockhoff. Theoretical Aspects of Evolutionary Multiobjective Optimization—A Review. Rapport de Recherche RR-7030, INRIA Saclay—Île-de-France, September 2009. (bibtex) (online access)

[2 — abbz2009a]

A. Auger, J. Bader, D. Brockhoff, and E. Zitzler. Theory of the Hypervolume Indicator: Optimal μ-Distributions and the Choice of the Reference Point. In Foundations of Genetic Algorithms (FOGA 2009), pages 87–102, New York, NY, USA, 2009. ACM. (PDF) (bibtex) (suppl. material)

[3 — ztb2008c]

E. Zitzler, L. Thiele, and J. Bader. On Set-Based Multiobjective Optimization (Revised Version). TIK Report 300, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, December 2008. (PDF) (bibtex)

[4 — zkt2008a]

E. Zitzler, J. Knowles, and L. Thiele. Quality Assessment of Pareto Set Approximations. In J. Branke, K. Deb, K. Miettinen, and R. Slowinski, editors, Multiobjective Optimization: Interactive and Evolutionary Approaches, pages 373–404. Springer, 2008. (bibtex) (online access)

[5 — ztb2008d]

E. Zitzler, L. Thiele, and J. Bader. On Set-Based Multiobjective Optimization. IEEE Transactions on Evolutionary Computation, 2009. to appear. (bibtex)

[6 — ztb2008b]

E. Zitzler, L. Thiele, and J. Bader. SPAM: Set Preference Algorithm for Multiobjective Optimization. In G. Rudolph et al., editors, Conference on Parallel Problem Solving From Nature (PPSN X), volume 5199 of LNCS, pages 847–858. Springer, 2008. (PDF) (bibtex) (online access)

[7 — ktz2006a]

J. Knowles, L. Thiele, and E. Zitzler. A Tutorial on the Performance Assessment of Stochastic Multiobjective Optimizers. TIK Report 214, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, February 2006. (PDF) (bibtex)

[8 — ztlf2003a]

E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. IEEE Transactions on Evolutionary Computation, 7(2):117–132, 2003. (PDF) (bibtex)

[9 — zltf2002a]

E. Zitzler, M. Laumanns, L. Thiele, C. M. Fonseca, and V. Grunert da Fonseca. Why Quality Assessment Of Multiobjective Optimizers Is Difficult. In Genetic and Evolutionary Computation Conference (GECCO 2002), pages 666–674, New York, NY, USA, July 2002. Morgan Kaufmann Publishers. (PDF) (bibtex)

[10 — ztlf2002a]

E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. Grunert da Fonseca. Performance Assessment of Multiobjective Optimizers: An Analysis and Review. TIK Report 139, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, June 2002. (PDF) (bibtex)

[11 — lzt2001a]

M. Laumanns, E. Zitzler, and L. Thiele. On The Effects of Archiving, Elitism, and Density Based Selection in Evolutionary Multi-Objective Optimization. In E. Zitzler et al., editors, Conference on Evolutionary Multi-Criterion Optimization (EMO 2001), volume 1993 of LNCS, pages 181–196. Springer, 2001. (PDF) (bibtex)

[12 — lzt2000a]

M. Laumanns, E. Zitzler, and L. Thiele. A Unified Model for Multi-Objective Evolutionary Algorithms with Elitism. In Congress on Evolutionary Computation (CEC 2000), pages 46–53. IEEE Press, 2000. (PDF) (bibtex)

[13 — zdt2000a]

E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results. Evolutionary Computation, 8(2):173–195, 2000. (PDF) (bibtex)

[14 — zitz1999a]

E. Zitzler. Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications. PhD thesis, ETH Zurich, Switzerland, 1999. (PDF) (bibtex)

[15 — zdt1999b]

E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms: Empirical Results (Revised Version). TIK Report 70, Computer Engineering and Networks Laboratory (TIK), ETH Zurich, December 1999. (PDF) (bibtex)

[16 — zt1999a]

E. Zitzler and L. Thiele. Multiobjective Evolutionary Algorithms: A Comparative Case Study and the Strength Pareto Approach. IEEE Transactions on Evolutionary Computation, 3(4):257–271, 1999. (PDF) (bibtex)

[17 — zdt1999a]

E. Zitzler, K. Deb, and L. Thiele. Comparison of Multiobjective Evolutionary Algorithms on Test Functions of Different Difficulty. In Genetic and Evolutionary Computation Conference (GECCO 1999): Bird-of-a-feather Workshop on Multi-criterion Optimization, July 1999. (PDF) (bibtex)

[18 — zt1998b]

E. Zitzler and L. Thiele. Multiobjective Optimization Using Evolutionary Algorithms - A Comparative Case Study. In Conference on Parallel Problem Solving from Nature (PPSN V), pages 292–301, Amsterdam, 1998. (PDF) (bibtex)