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

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.