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| Authors: | Marco Laumanns, Günter Rudolph, Hans-Paul Schwefel |
| Group: | Computer Engineering |
| Type: | Inproceedings |
| Title: | Adaptive Mutation Control in Panmictic And Spatially Distributed Multi-objective Evolutionary Algorithms |
| Year: | 2000 |
| Pub-Key: | LRS2000 |
| Book Titel: | PPSN/SAB Workshop on Multiobjective Problem Solving from Nature (MPSN) |
| Keywords: | multi-objective optimization, evolutionary algorithms, mutation conrol, self-adaptation |
| Abstract: | This paper addresses the problem of controlling mutation strength in multi-objective evolutionary algorithms. Adaptive parameter control is one major issue in the field of evolutionary computation, and several methods have been proposed and applied successfully for single objective optimization problems. In this study we examine whether these results carry over to the multi-objective case and what kind of modifications must be taken to meet the difficulties and pitfalls of conflicting objectives. |
| Resources: | [BibTeX] [Paper as PDF] |
