文献
J-GLOBAL ID:202202259154718283
整理番号:22A0578238
大規模スパース最適化問題のための多目的進化計算におけるスパース母集団サンプリングの利点【JST・京大機械翻訳】
Benefits of sparse population sampling in multi-objective evolutionary computing for large-Scale sparse optimization problems
著者 (6件):
Kropp Ian
(Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, USA)
,
Kropp Ian
(Department of Computer Science Engineering, Michigan State University, East Lansing, MI, USA)
,
Nejadhashemi A. Pouyan
(Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI, USA)
,
Nejadhashemi A. Pouyan
(Department of Plant, Soil, and Microbial Sciences, Michigan State University, East Lansing, MI, USA)
,
Deb Kalyanmoy
(Department of Computer Science Engineering, Michigan State University, East Lansing, MI, USA)
,
Deb Kalyanmoy
(Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI, USA)
資料名:
Swarm and Evolutionary Computation
(Swarm and Evolutionary Computation)
巻:
69
ページ:
Null
発行年:
2022年
JST資料番号:
W3213A
ISSN:
2210-6502
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)