@article{oai:kanazawa-u.repo.nii.ac.jp:00008106,
 author = {Kitayama, Satoshi and Miyakawa, Chie and Yamazaki, Koetsu and Arakawa, Masao and 北山, 哲士 and 宮川, 智栄 and 山崎, 光悦 and 荒川, 雅生},
 issue = {751},
 journal = {日本機械学會論文集. C編, Transactions of the Japan Society of Mechanical Engineers. C},
 month = {Mar},
 note = {The main objective called as the population based optimization techniques is to find a global minimum. However, it is sometimes preferable to find multiple optima in the engineering design. The Adaptive Range Particle Swarm Optimization (ARPSO) to find multiple optima is proposed in this paper. The active search domain range of the ARPSO is only one, however, many active search domain ranges to find multiple optima are generated in the proposed appoach. At first, the many active search domain ranges are generated by the paired particles, and the procedure of the ARPSO is applied. Then, the paired particles find local or global minimum separetely. Many active search domain ranges are sometimes integrated through the search process. The detail procedure to integrate the active search domain ranges is also explained in this paper. It is possible to find multiple optima with high accuracy by the proposed approach. The validity of proposed method is examined through numerical examples., 出版者許諾要件により、2010年4月より全文公開., 金沢大学理工研究域機械工学系},
 pages = {710--718},
 title = {領域適応型Particle Swarm Optimizationによる複数の最適解の探索},
 volume = {75},
 year = {2009}
}