The explicit exploration information exchange mechanism for niche technique

Jun Zhang; Kwok Wing Chau

doi:10.1007/978-3-540-85984-0_70

The explicit exploration information exchange mechanism for niche technique

Jun Zhang, Kwok Wing Chau

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

This paper presents a novel explicit exploration information exchange mechanism for niche technique. In this framework, the whole population is divided into many sub-populations. The different sub-population communicates with each other. One sub-population exploration area does not be explored by others. Based on this framework, a multi-sub-swarm particle swarm optimization (MSSPSO) algorithm is implemented to test the thought. Five benchmark multimodal functions are used as test functions. The experimental results show that the proposed method has a stronger adaptive ability and a better performance for multimodal functions with respect to other niche techniques.

Original language	English
Title of host publication	Advanced Intelligent Computing Theories and Applications
Subtitle of host publication	With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings
Pages	583-590
Number of pages	8
DOIs	https://doi.org/10.1007/978-3-540-85984-0_70
Publication status	Published - 7 Oct 2008
Event	4th International Conference on Intelligent Computing, ICIC 2008 - Shanghai, China Duration: 15 Sept 2008 → 18 Sept 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5227 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	4th International Conference on Intelligent Computing, ICIC 2008
Country/Territory	China
City	Shanghai
Period	15/09/08 → 18/09/08

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

More information

10.1007/978-3-540-85984-0_70

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Zhang, J., & Chau, K. W. (2008). The explicit exploration information exchange mechanism for niche technique. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings (pp. 583-590). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5227 LNAI). https://doi.org/10.1007/978-3-540-85984-0_70

Zhang, Jun ; Chau, Kwok Wing. / The explicit exploration information exchange mechanism for niche technique. Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. pp. 583-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "This paper presents a novel explicit exploration information exchange mechanism for niche technique. In this framework, the whole population is divided into many sub-populations. The different sub-population communicates with each other. One sub-population exploration area does not be explored by others. Based on this framework, a multi-sub-swarm particle swarm optimization (MSSPSO) algorithm is implemented to test the thought. Five benchmark multimodal functions are used as test functions. The experimental results show that the proposed method has a stronger adaptive ability and a better performance for multimodal functions with respect to other niche techniques.",

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Zhang, J & Chau, KW 2008, The explicit exploration information exchange mechanism for niche technique. in Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5227 LNAI, pp. 583-590, 4th International Conference on Intelligent Computing, ICIC 2008, Shanghai, China, 15/09/08. https://doi.org/10.1007/978-3-540-85984-0_70

The explicit exploration information exchange mechanism for niche technique. / Zhang, Jun; Chau, Kwok Wing.
Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. p. 583-590 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5227 LNAI).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - This paper presents a novel explicit exploration information exchange mechanism for niche technique. In this framework, the whole population is divided into many sub-populations. The different sub-population communicates with each other. One sub-population exploration area does not be explored by others. Based on this framework, a multi-sub-swarm particle swarm optimization (MSSPSO) algorithm is implemented to test the thought. Five benchmark multimodal functions are used as test functions. The experimental results show that the proposed method has a stronger adaptive ability and a better performance for multimodal functions with respect to other niche techniques.

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Zhang J, Chau KW. The explicit exploration information exchange mechanism for niche technique. In Advanced Intelligent Computing Theories and Applications: With Aspects of Artificial Intelligence - 4th International Conference on Intelligent Computing, ICIC 2008, Proceedings. 2008. p. 583-590. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-85984-0_70

The explicit exploration information exchange mechanism for niche technique

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