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Engineering Optimization Volume 54, 2022 - Issue 3
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Research Article

Differential evolution algorithm with dynamic multi-population applied to flexible job shop schedule

Yang Caoa College of Information Science and Engineering, Northeastern University, Shenyang, People’s Republic of China;b Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People’s Republic of China;c Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China;d University of Chinese Academy of Sciences, Beijing, People’s Republic of China;e Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, People’s Republic of China;f Information & Control Engineering Faculty, Shenyang Jianzhu University, Shenyang, People’s Republic of ChinaCorrespondence[email protected]
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,
Haibo Shib Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People’s Republic of China;c Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China;e Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, People’s Republic of ChinaView further author information
&
DaLiang Changb Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, People’s Republic of China;c Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, People’s Republic of China;d University of Chinese Academy of Sciences, Beijing, People’s Republic of China;e Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang, People’s Republic of ChinaView further author information
Pages 387-408 | Received 23 Sep 2019, Accepted 03 Jan 2021, Published online: 22 Feb 2021

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Linshan Ding, Zailin Guan, Zhengmin Zhang, Weikang Fang, Zhipeng Chen & Lei Yue. (2024) A hybrid fluid master–apprentice evolutionary algorithm for large-scale multiplicity flexible job-shop scheduling with sequence-dependent set-up time. Engineering Optimization 56:1, pages 54-75.
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Pawnrat Thumrongvut, Kanchana Sethanan, Rapeepan Pitakaso, Thitipong Jamrus & Paulina Golinska-Dawson. (2023) Application of Industry 3.5 approach for planning of more sustainable supply chain operations for tourism service providers. International Journal of Logistics Research and Applications 26:11, pages 1578-1601.
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Kelvin Ching Wei Lim, Li-Pei Wong & Jeng Feng Chin. (2023) Simulated-annealing-based hyper-heuristic for flexible job-shop scheduling. Engineering Optimization 55:10, pages 1635-1651.
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Hongliang Zhang, Gongjie Xu, Ruilin Pan & Haijiang Ge. (2022) A novel heuristic method for the energy-efficient flexible job-shop scheduling problem with sequence-dependent set-up and transportation time. Engineering Optimization 54:10, pages 1646-1667.
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Articles from other publishers (3)

Hongtao Tang, Yu Xiao, Wei Zhang, Deming Lei, Jing Wang & Tao Xu. (2024) A DQL-NSGA-III algorithm for solving the flexible job shop dynamic scheduling problem. Expert Systems with Applications 237, pages 121723.
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Daliang Chang, Haibo Shi, Chao Han & Fu Meng. (2023) Research on Production Scheduling Optimization of Flexible Job Shop Production with Buffer Capacity Limitation Based on the Improved Gene Expression Programming Algorithm. International Journal of Precision Engineering and Manufacturing 24:12, pages 2317-2336.
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Hui Wang, Jiejie Zhu, Xiang Huang, Huijuan Ma, Yizhe Chen, Yulong Zhou, Jie Chen & Zhili Hu. (2022) Key Technology and Application of Production Scheduling for Heating Forming of Forgings: A Review. Metals 12:11, pages 1790.
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