Adaptive Range Particle Swarm Optimization to Find Multiple Optima(Mechanical Systems)
-
- KITAYAMA Satoshi
- Faculty of Engineering, Kanazawa University
-
- MIYAKAWA Chie
- 金沢大学大学院自然科学研究所
-
- YAMAZAKI Koetsu
- Faculty of Engineering, Kanazawa University
-
- ARAKAWA Masao
- 香川大学工学部
Bibliographic Information
- Other Title
-
- 領域適応型Particle Swarm Optimizationによる複数の最適解の探索(機械力学,計測,自動制御)
- 領域適応型Particle Swarm Optimizationによる複数の最適解の探索
- リョウイキ テキオウガタ Particle Swarm Optimization ニ ヨル フクスウ ノ サイテキ カイ ノ タンサク
Search this article
Abstract
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.
Journal
-
- TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
-
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 75 (751), 710-718, 2009
The Japan Society of Mechanical Engineers
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282681364580608
-
- NII Article ID
- 110007161356
-
- NII Book ID
- AN00187463
-
- ISSN
- 18848354
- 03875024
-
- NDL BIB ID
- 10232589
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- IRDB
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- Abstract License Flag
- Disallowed