Abstract
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary design optimization of wing planform shape. Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance.
| Original language | English |
|---|---|
| Title of host publication | Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings |
| Pages | 260-269 |
| Number of pages | 10 |
| Publication status | Published - 1998 Dec 1 |
| Event | 5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 - Amsterdam, Netherlands Duration: 1998 Sep 27 → 1998 Sep 30 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 1498 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 |
|---|---|
| Country | Netherlands |
| City | Amsterdam |
| Period | 98/9/27 → 98/9/30 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Cite this
Obayashi, S., Takahashi, S., & Takeguchi, Y. (1998). Niching and elitist models for MOGAs. In Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings (pp. 260-269). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1498 LNCS).