Departmental Bulletin Paper メタヒューリスティクスに関する研究概要(電気電子工学科特集)

進藤, 卓也  ,  Takuya, Shindo

Under the given constraints, the optimization problems which searches the solution corresponding to the maximum or the minimum of an objective function is a very important problem in various fi elds. On the other hand, large-scale optimization problems are very difficult. As a way to explore the approximate solution of such optim ization problem, meta-heuristics has attracted attention. This paper describes the swarm intelligence of meta -heuristics. In particular, Particle Swarm Optimization and Firefly Algorithm are introduced. In addition, for each algorithm, a simple operating analysis results are shown.

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