文献
J-GLOBAL ID:201702233125700052
整理番号:17A1966370
新しい適応シミュレーテッドアニーリングアルゴリズムと動的タスククラスタリング戦略を用いた衛星観測スケジューリング【Powered by NICT】
Satellite observation scheduling with a novel adaptive simulated annealing algorithm and a dynamic task clustering strategy
著者 (6件):
Wu Guohua
(School of Mathematics and Big Data, Foshan University, Foshan 528000, PR China)
,
Wu Guohua
(College of Information Systems and Management, National University of Defense Technology, Changsha 410073, PR China)
,
Wang Huilin
(Beijing Institute of Tracking and Telecommunication Technology, Beijing 100094, China)
,
Pedrycz Witold
(Department of Electrical & Computer Engineering, University of Alberta, Edmonton, AB T6R 2V4, Canada)
,
Li Haifeng
(School of Civil Engineering and Architecture, Central South University, Changsha 410004, Hunan, China)
,
Wang Ling
(Tsinghua National Laboratory for Information Science and Technology (TNList), Department of Automation, Tsinghua University, Beijing 100084, China)
資料名:
Computers & Industrial Engineering
(Computers & Industrial Engineering)
巻:
113
ページ:
576-588
発行年:
2017年
JST資料番号:
D0502B
ISSN:
0360-8352
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)