著者

伊藤 稔 田中 雅博

出版者

甲南大学

雑誌

甲南大学紀要. 理工学編 (ISSN:13480383)

巻号頁・発行日

vol.52, no.1, pp.125-135, 2005-07-31

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In this paper, we evaluate the performance of Differential Evolution (DE), Particle Swarm Optimization (PSO), and Real-Coded Genetic Algorithm (Real-Coded GA) on a function optimization problem. The comparative study is performed on 4 benchmark problems. The results from our study show that DE outperforms the other methods.