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| Authors: | Eckart Zitzler, Marco Laumanns, Lothar Thiele, Carlos M. Fonseca, Viviane Grunert da Fonseca |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Why Quality Assessment Of Multiobjective Optimizers Is Difficult |
| Year: | 2002 |
| Month: | July |
| Pub-Key: | ZLTFF2002a |
| Book Titel: | GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference |
| Pages: | 666-674 |
| Keywords: | EMO |
| Publisher: | Morgan Kaufmann Publishers |
| Abstract: | Quantitative quality assessment of approximations of the Pareto-optimal set is an important issue in comparing the performance of multiobjective evolutionary algorithms. Most popular are methods that assign each approximation set a vector of real numbers that reflect different aspects of the quality. In this study, we investigate this type of quality assessment from a theoretical point of view. We provide a rigorous analysis of limitations and suggest a mathematical framework on the basis of which existing techniques are classified and discussed. |
| Location: | New York, NY, USA |
| Resources: | [BibTeX] [Paper as PDF] |
