Summary

Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications

2013

Session Number:B3L-B

Session:

Number:306

A Study on Stochastic Animal Swarm Optimization with gradient estimation methods

Takeshi Uchitane,  Taro Fukutomi,  Toshiharu Hatanaka,  Atsushi Yagi,  

pp.306-309

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.2.306

PDF download (1.2MB)

In this paper, we addressed a search algorithm based on a mathematical swarming model described by stochastic differential equations. The swarm model is constructed by the attractive and repulsive forces as the relationship among search points that imitated animate beings. Numerical simulations are performed to shown availabilities of the proposed method for function optimization.

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