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Using Iterated Greedy with a New Population Approach for the Flexible Job-shop Scheduling Problem

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成果类型:
会议论文
作者:
Al Aqel, G.;Li, X.*;Gao, L.;Gong, W.;Wang, R.;...
通讯作者:
Li, X.
作者机构:
[Al Aqel, G.; Gao, L.; Li, X.] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan, Hubei, Peoples R China.
[Gong, W.] China Univ Geosci, Sch Comp Sci, Wuhan, Hubei, Peoples R China.
[Wang, R.] Natl Univ Def Technol, Coll Syst Engn, Changsha, Hunan, Peoples R China.
[Ren, T.] Cent South Univ Forestry & Technol, Sch Transportat & Logist, Changsha, Hunan, Peoples R China.
[Wu, G.] Cent S Univ, Sch Traff & Transportat Engn, Changsha, Hunan, Peoples R China.
通讯机构:
[Li, X.] H
Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan, Hubei, Peoples R China.
语种:
英文
关键词:
Flexible Job-shop Scheduling Problem;Iterated Greedy;Telescopic Population
期刊:
2018 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT (IEEE IEEM)
ISSN:
2157-3611
年:
2018
页码:
1235-1239
会议名称:
IEEE International Conference on Industrial Engineering and Engineering Management (IEEE IEEM)
会议论文集名称:
International Conference on Industrial Engineering and Engineering Management IEEM
会议时间:
DEC 16-19, 2018
会议地点:
Bangkok, THAILAND
会议主办单位:
[Al Aqel, G.;Li, X.;Gao, L.] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, Wuhan, Hubei, Peoples R China.^[Gong, W.] China Univ Geosci, Sch Comp Sci, Wuhan, Hubei, Peoples R China.^[Wang, R.] Natl Univ Def Technol, Coll Syst Engn, Changsha, Hunan, Peoples R China.^[Ren, T.] Cent South Univ Forestry & Technol, Sch Transportat & Logist, Changsha, Hunan, Peoples R China.^[Wu, G.] Cent S Univ, Sch Traff & Transportat Engn, Changsha, Hunan, Peoples R China.
会议赞助商:
IEEE, IEEE TEMS Thailand Chapter, IEEE TEMS Singapore Chapter, IEEE TEMS Hong Kong Chapter
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-5386-6786-6
基金类别:
National Natural Science Foundation of China [51435009, 51775216]; Natural Science Foundation of Hubei Province [2018CFA078]; Program for HUST Academic Frontier Youth Team
机构署名:
本校为其他机构
院系归属:
交通运输与物流学院
摘要:
The flexible job-shop scheduling problem (FJSP) is known as an important problem in manufacturing systems. Many methods have been proposed to solve this problem. The iterated greedy (IG) is one of those algorithms that are widely used in simpler shop scheduling problems. This research proposes a new Telescopic Population approach (TP) to assist the IG in solving the FJSP. The use of TP approach with IG provides an effective method that is also easier to reproduce. The performance of TP with IG proves that the new pop...

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