Particle swarm optimization with area of influence: Increasing the effectiveness of the swarm

Kevin J. Binkley, Masafumi Hagiwara

研究成果: Conference contribution

7 引用 (Scopus)

抜粋

In this paper we present a new definition of neighborhood for particle swarm optimization (PSO) methods called area of influence. Area of influence (AOI) derives from the observation that in nature the effective exchange of information between individuals of a society deteriorates as their physical distance increases. In PSO with AOI, the loss of information exchange ability with distance is simulated by making the exchange of information a function of the physical distance between particles in hyperspace. In this paper, we compare the AOI method to the standard PSO neighborhood methods, global best, local best, and von Neumann. We also introduce a local search method using reinitialization of velocity components based on the current search range. We show that AOI along with local search and a time-varying constriction coefficient provides strong benefits to several PSO algorithms. Results are presented using the standard benchmark functions from the PSO literature.

元の言語English
ホスト出版物のタイトルProceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005
ページ47-54
ページ数8
DOI
出版物ステータスPublished - 2005 12 1
イベント2005 IEEE Swarm Intelligence Symposium, SIS 2005 - Pasadena, CA, United States
継続期間: 2005 6 82005 6 10

出版物シリーズ

名前Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005
2005

Other

Other2005 IEEE Swarm Intelligence Symposium, SIS 2005
United States
Pasadena, CA
期間05/6/805/6/10

ASJC Scopus subject areas

  • Engineering(all)

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  • これを引用

    Binkley, K. J., & Hagiwara, M. (2005). Particle swarm optimization with area of influence: Increasing the effectiveness of the swarm. : Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005 (pp. 47-54). [1501601] (Proceedings - 2005 IEEE Swarm Intelligence Symposium, SIS 2005; 巻数 2005). https://doi.org/10.1109/SIS.2005.1501601