Preference bi-objective evolutionary algorithm for constrained optimization

Yuping Wang*, Dalian Liu, Yiu Ming CHEUNG

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

13 Citations (Scopus)


In this paper, we propose a new constraint handling approach that transforms constrained optimization problem of any number of constraints into a two objective preference optimization problem. We design a new crossover operator based on uniform design methods ([8]), a new mutation operator using local search and preference, and a new selection operator based on the preference of the two objectives. The simulation results indicate the proposed algorithm is effective.

Original languageEnglish
Title of host publicationComputational Intelligence and Security - International Conference, CIS 2005, Proceedings
PublisherSpringer Verlag
Number of pages8
ISBN (Print)3540308180, 9783540308188
Publication statusPublished - 2005
EventInternational Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China
Duration: 15 Dec 200519 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3801 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Computational Intelligence and Security, CIS 2005

Scopus Subject Areas

  • Theoretical Computer Science
  • Computer Science(all)


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