文献
J-GLOBAL ID:202002222139337032
整理番号:20A2151134
遺伝的および可変近傍アルゴリズムに基づく低炭素多目的ショップスケジューリング【JST・京大機械翻訳】
Low Carbon Multi-Objective Shop Scheduling Based On Genetic and Variable Neighborhood Algorithm
著者 (4件):
Yang Xingbo
(College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China)
,
Zhang Junhao
(College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China)
,
Zhang Ningbo
(College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China)
,
Li Yawei
(College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China)
資料名:
Journal of Physics: Conference Series
(Journal of Physics: Conference Series)
巻:
1574
号:
1
ページ:
012155 (6pp)
発行年:
2020年
JST資料番号:
W5565A
ISSN:
1742-6588
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)