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检索条件"主题词=Bi-population evolutionary algorithm"
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A knowledge-guided bi-population evolutionary algorithm for energy-efficient scheduling of distributed flexible job shop problem
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 128卷
作者: Yu, Fei Lu, Chao Zhou, Jiajun Yin, Lvjiang Wang, Kaipu China Univ Geosci Sch Comp Sci Wuhan 430074 Peoples R China Hubei Univ Automot Technol Sch Econ & Management Shiyan 442002 Peoples R China Wuhan Univ Technol Sch Mech & Elect Engn Wuhan 430070 Peoples R China
With the guidance of the advanced manufacturing philosophy, green scheduling and energy efficiency have received considerable attention from enterprises and countries. Meanwhile, distributed manufacturing is becoming ... 详细信息
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A bi-population evolutionary algorithm With Feedback for Energy-Efficient Fuzzy Flexible Job Shop Scheduling
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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2022年 第8期52卷 5295-5307页
作者: Pan, Zixiao Lei, Deming Wang, Ling Tsinghua Univ Dept Automat Beijing 10084 Peoples R China Wuhan Univ Technol Sch Automat Wuhan 430070 Peoples R China
The energy-efficient flexible job shop scheduling problem (FJSP) has attracted much attention in deterministic cases;however, uncertainty is seldom incorporated into energy-efficient FJSP and the neglecting of uncerta... 详细信息
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biased bi-population evolutionary algorithm for Energy-Efficient Fuzzy Flexible Job Shop Scheduling with Deteriorating Jobs
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Complex System Modeling and Simulation 2024年 第1期4卷 15-32页
作者: Libao Deng Yingjian Zhu Yuanzhu Di Lili Zhang School of Information Science and Engineering Harbin Institute of TechnologyWeihai 264209China. Department of Computer Science Maynooth UniversityMaynoothW23 F2H6 the School of Computing Dublin City UniversityDublinD09 V209Ireland.
There are many studies about flexible job shop scheduling problem with fuzzy processing time and deteriorating scheduling,but most scholars neglect the connection between them,which means the purpose of both models is... 详细信息
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