文献
J-GLOBAL ID:202102251115402599
整理番号:21A0069831
特徴選択のための並列重みベクトルによるMOEA/Dの並列実装【JST・京大機械翻訳】
Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection
著者 (4件):
Liao Weiduo
(Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China)
,
Ishibuchi Hisao
(Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China)
,
Meng Pang Lie
(Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China)
,
Shang Ke
(Southern University of Science and Technology,Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation,Department of Computer Science and Engineering,Shenzhen,China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2020
号:
SMC
ページ:
1524-1531
発行年:
2020年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)