書誌事項
- タイトル別名
-
- Computational Property of Hybrid Methods with PSO and DE
- PSO ト DE ニ ヨル ハイブリッド シュホウ ノ ケイサン トクセイ
この論文をさがす
説明
In this paper, we present a new type of hybrid methods for global optimization with Particle Swarm Optimization (PSO) and Differential Evolution (DE), which have attracted interests as heuristic and global optimization methods recently. Concretely, “p-best solutions” as the targets of PSO's particles are actuated by DE's evolutional mechanism in order to promote PSO's global searching ability. The presented hybrid method works effectively because PSO acts as a local optimizer and DE plays a role as a global optimizer. To evaluate performance of the hybridization, our method is applied to some benchmarks and is compared with the separated PSO and DE. Through computer simulations, it is certified that the proposed hybrid method performs fairy better than their separated algorithm.
収録刊行物
-
- 電気学会論文誌C(電子・情報・システム部門誌)
-
電気学会論文誌C(電子・情報・システム部門誌) 132 (7), 1128-1135, 2012
一般社団法人 電気学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1390001204607329920
-
- NII論文ID
- 10030778374
-
- NII書誌ID
- AN10065950
-
- BIBCODE
- 2012ITEIS.132.1128M
-
- ISSN
- 13488155
- 03854221
-
- NDL書誌ID
- 023887735
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可