Incrementing multi-objective evolutionary algorithms : Performance studies and comparisons

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationEvolutionary Multi-Criterion Optimization
Subtitle of host publicationFirst International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings
EditorsEckart Zitzler, Lothar Thiele, Kalyanmoy Deb, Carlos Artemio Coello Coello, David Corne
PublisherSpringer Berlin Heidelberg
Pages111-125
ISBN (Electronic)978-3-540-44719-1
ISBN (Print)978-3-540-41745-3
Publication statusPublished - Mar 2001
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1993
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Title1st International Conference on Evolutionary Multi-Criterion Optimization, EMO 2001
PlaceSwitzerland
CityZurich
Period7 - 9 March 2001

Abstract

This paper addresses the issue by presenting a novel "incrementing" multi-objective evolutionary algorithm (IMOEA) with dynamic population size that is adaptively computed according to the on-line discovered trade-off surface and its desired population distribution density. It incorporates the method of fuzzy boundary local perturbation with interactive local fine-tuning for broader neighborhood exploration to achieve better convergence as well as discovering any gaps or missing trade-off regions at each generation. Comparative studies with other multi-objective (MO) optimization are performed on benchmark problem. The new suggested quantitative measures together with other well-known measures are employed to access and compare their performances statistically.

Citation Format(s)

Incrementing multi-objective evolutionary algorithms : Performance studies and comparisons. / Tan, K. C.; Lee, T. H.; Khor, E. F.

Evolutionary Multi-Criterion Optimization: First International Conference, EMO 2001 Zurich, Switzerland, March 7–9, 2001 Proceedings. ed. / Eckart Zitzler; Lothar Thiele; Kalyanmoy Deb; Carlos Artemio Coello Coello; David Corne. Springer Berlin Heidelberg, 2001. p. 111-125 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1993).

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)