Niching and elitist models for MOGAs

Shigeru Obayashi, Shinichi Takahashi, Yukihiro Takeguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

42 Citations (Scopus)

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 languageEnglish
Title of host publicationParallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings
Pages260-269
Number of pages10
Publication statusPublished - 1998 Dec 1
Event5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 - Amsterdam, Netherlands
Duration: 1998 Sep 271998 Sep 30

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1498 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Parallel Problem Solving from Nature, PPSN 1998
CountryNetherlands
CityAmsterdam
Period98/9/2798/9/30

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).