Niching and elitist models for MOGAs

Shigeru Obayashi; Shinichi Takahashi; Yukihiro Takeguchi

Niching and elitist models for MOGAs

Shigeru Obayashi, Shinichi Takahashi, Yukihiro Takeguchi

Creative Flow Research Division

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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)

Fingerprint Dive into the research topics of 'Niching and elitist models for MOGAs'. Together they form a unique fingerprint.

Cite this

Niching and elitist models for MOGAs. / Obayashi, Shigeru; Takahashi, Shinichi; Takeguchi, Yukihiro.

Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings. 1998. p. 260-269 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1498 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1498 LNCS, pp. 260-269, 5th International Conference on Parallel Problem Solving from Nature, PPSN 1998, Amsterdam, Netherlands, 98/9/27.

@inproceedings{fb529ae36b384ad5b0be1777894a1a33,

title = "Niching and elitist models for MOGAs",

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.",

author = "Shigeru Obayashi and Shinichi Takahashi and Yukihiro Takeguchi",

year = "1998",

month = dec,

day = "1",

language = "English",

isbn = "3540650784",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "260--269",

booktitle = "Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings",

note = "5th International Conference on Parallel Problem Solving from Nature, PPSN 1998 ; Conference date: 27-09-1998 Through 30-09-1998",

}

TY - GEN

T1 - Niching and elitist models for MOGAs

AU - Obayashi, Shigeru

AU - Takahashi, Shinichi

AU - Takeguchi, Yukihiro

PY - 1998/12/1

Y1 - 1998/12/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84878574676&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84878574676&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84878574676

SN - 3540650784

SN - 9783540650782

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 260

EP - 269

BT - Parallel Problem Solving from Nature, PPSN 1998 - 5th International Conference, Proceedings

T2 - 5th International Conference on Parallel Problem Solving from Nature, PPSN 1998

Y2 - 27 September 1998 through 30 September 1998

ER -