Introducing recombination with dynamic linkage discovery to particle swarm optimization

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Introducing recombination with dynamic linkage discovery to particle swarm optimization

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Genetic And Evolutionary Computation Conference archive
Proceedings of the 8th annual conference on Genetic and evolutionary computation table of contents

Seattle, Washington, USA

POSTER SESSION: Ant colony optimization and swarm intelligence: posters table of contents

Pages: 85 - 86

Year of Publication: 2006

ISBN:1-59593-186-4

Authors

Ming-chung Jian	National Chiao Tung University, HinChu City, Taiwan
Ying-ping Chen	National Chiao Tung University, HinChu City, Taiwan

Sponsors

SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

In this paper, we introduce the recombination operator with the technique of dynamic linkage discovery to particle swarm optimization (PSO) in order to improve the performance of PSO. Numerical experiments are conducted on a set of carefully designed benchmark functions and demonstrate good performance achieved by the proposed methodology.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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