Multi-objective PSO based on grid strategy

Yanmin Liu; Ben Niu; Tung Sun Chan; Rui Liu; Changling Sui

doi:10.1007/978-3-319-22186-1_71

Multi-objective PSO based on grid strategy

Yanmin Liu, Ben Niu, Tung Sun Chan, Rui Liu, Changling Sui

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

1 Citation (Scopus)

Abstract

In multi-objective optimization problem (MOP), keeping solution diversity is key case for solution quality. To improve the MOP quality, the diversity maintenance threshold value (λα) is proposed to keep solutions diversity based on adaptive grid strategy. These strategies can adaptive maintain the non-inferior diversity to improve swarm individual fly to the global optimal. Four test problems are selected to test the proposed strategy compared with other classical methods, and three performance metrics are chosen to explore the algorithm effectiveness.

Original language	English
Title of host publication	Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings
Publisher	Springer Verlag
Pages	717-724
Number of pages	8
ISBN (Print)	9783319221854
DOIs	https://doi.org/10.1007/978-3-319-22186-1_71
Publication status	Published - 1 Jan 2015
Event	11th International Conference on Intelligent Computing, ICIC 2015 - Fuzhou, China Duration: 20 Aug 2015 → 23 Aug 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9226
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	11th International Conference on Intelligent Computing, ICIC 2015
Country/Territory	China
City	Fuzhou
Period	20/08/15 → 23/08/15

Keywords

Adaptive
Diversity maintenance
Grid strategy
Multi-objective optimization
Particle swarm optimizer

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

More information

10.1007/978-3-319-22186-1_71

Cite this

Liu, Y., Niu, B., Chan, T. S., Liu, R., & Sui, C. (2015). Multi-objective PSO based on grid strategy. In Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings (pp. 717-724). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9226). Springer Verlag. https://doi.org/10.1007/978-3-319-22186-1_71

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abstract = "In multi-objective optimization problem (MOP), keeping solution diversity is key case for solution quality. To improve the MOP quality, the diversity maintenance threshold value (λα) is proposed to keep solutions diversity based on adaptive grid strategy. These strategies can adaptive maintain the non-inferior diversity to improve swarm individual fly to the global optimal. Four test problems are selected to test the proposed strategy compared with other classical methods, and three performance metrics are chosen to explore the algorithm effectiveness.",

keywords = "Adaptive, Diversity maintenance, Grid strategy, Multi-objective optimization, Particle swarm optimizer",

author = "Yanmin Liu and Ben Niu and Chan, {Tung Sun} and Rui Liu and Changling Sui",

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doi = "10.1007/978-3-319-22186-1_71",

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

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Liu, Y, Niu, B, Chan, TS, Liu, R & Sui, C 2015, Multi-objective PSO based on grid strategy. in Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9226, Springer Verlag, pp. 717-724, 11th International Conference on Intelligent Computing, ICIC 2015, Fuzhou, China, 20/08/15. https://doi.org/10.1007/978-3-319-22186-1_71

Multi-objective PSO based on grid strategy. / Liu, Yanmin; Niu, Ben; Chan, Tung Sun et al.
Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings. Springer Verlag, 2015. p. 717-724 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9226).

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

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Liu Y, Niu B, Chan TS, Liu R, Sui C. Multi-objective PSO based on grid strategy. In Intelligent Computing Theories and Methodologies - 11th International Conference, ICIC 2015, Proceedings. Springer Verlag. 2015. p. 717-724. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-22186-1_71

Multi-objective PSO based on grid strategy

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