Preference bi-objective evolutionary algorithm for constrained optimization

Yuping Wang; Dalian Liu; Yiu Ming Cheung

doi:10.1007/11596448_27

Preference bi-objective evolutionary algorithm for constrained optimization

Yuping Wang^*, Dalian Liu, Yiu Ming Cheung

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

13 Citations (Scopus)

Abstract

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 language	English
Title of host publication	Computational Intelligence and Security - International Conference, CIS 2005, Proceedings
Publisher	Springer Verlag
Pages	184-191
Number of pages	8
ISBN (Print)	3540308180, 9783540308188
DOIs	https://doi.org/10.1007/11596448_27
Publication status	Published - 2005
Event	International Conference on Computational Intelligence and Security, CIS 2005 - Xi'an, China Duration: 15 Dec 2005 → 19 Dec 2005

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3801 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Intelligence and Security, CIS 2005
Country/Territory	China
City	Xi'an
Period	15/12/05 → 19/12/05

Scopus Subject Areas

Theoretical Computer Science
Computer Science(all)

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10.1007/11596448_27

Cite this

Wang, Y., Liu, D., & Cheung, Y. M. (2005). Preference bi-objective evolutionary algorithm for constrained optimization. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings (pp. 184-191). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3801 LNAI). Springer Verlag. https://doi.org/10.1007/11596448_27

Wang, Yuping ; Liu, Dalian ; Cheung, Yiu Ming. / Preference bi-objective evolutionary algorithm for constrained optimization. Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Springer Verlag, 2005. pp. 184-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{b23d95c715274bd98bda83a78ab673db,

title = "Preference bi-objective evolutionary algorithm for constrained optimization",

abstract = "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.",

author = "Yuping Wang and Dalian Liu and Cheung, {Yiu Ming}",

year = "2005",

doi = "10.1007/11596448_27",

language = "English",

isbn = "3540308180",

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

publisher = "Springer Verlag",

pages = "184--191",

booktitle = "Computational Intelligence and Security - International Conference, CIS 2005, Proceedings",

address = "Germany",

}

Wang, Y, Liu, D & Cheung, YM 2005, Preference bi-objective evolutionary algorithm for constrained optimization. in Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3801 LNAI, Springer Verlag, pp. 184-191, International Conference on Computational Intelligence and Security, CIS 2005, Xi'an, China, 15/12/05. https://doi.org/10.1007/11596448_27

Preference bi-objective evolutionary algorithm for constrained optimization. / Wang, Yuping; Liu, Dalian; Cheung, Yiu Ming.
Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Springer Verlag, 2005. p. 184-191 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3801 LNAI).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - Cheung, Yiu Ming

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AB - 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.

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SN - 9783540308188

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

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Wang Y, Liu D, Cheung YM. Preference bi-objective evolutionary algorithm for constrained optimization. In Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. Springer Verlag. 2005. p. 184-191. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11596448_27

Preference bi-objective evolutionary algorithm for constrained optimization

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