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A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems

Kaizhou Gao Zhiguang Cao Le Zhang Zhenghua Chen Yuyan Han Quanke Pan

自动化学报(英文版)2019,Vol.6Issue(4):904-916,13.
自动化学报(英文版)2019,Vol.6Issue(4):904-916,13.DOI:10.1109/JAS.2019.1911540

A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems

A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems

Kaizhou Gao 1Zhiguang Cao 2Le Zhang 3Zhenghua Chen 3Yuyan Han 4Quanke Pan5

作者信息

  • 1. Macau Institute of Systems Engineering at Macau University of Science and Technology 999078, China, and School of Com-puter at Liaocheng Univeristy, Liaocheng, 252059, China
  • 2. Department of Industrial Systems Engineering and Management, National University of Singapore, Singapore and Centre for Maritime Studies, National University of Singapore, Singapore
  • 3. Institute for Infocomm Research (I2R), the Agency for Science, Technology and Research (A*STAR), Singa-pore
  • 4. School of Computer at Liaocheng Univeristy, Liaocheng 252059, China
  • 5. School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China
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摘要

关键词

Evolutionary algorithm/flexible job shop scheduling/review/swarm intelligence

Key words

Evolutionary algorithm/flexible job shop scheduling/review/swarm intelligence

引用本文复制引用

Kaizhou Gao,Zhiguang Cao,Le Zhang,Zhenghua Chen,Yuyan Han,Quanke Pan..A Review on Swarm Intelligence and Evolutionary Algorithms for Solving Flexible Job Shop Scheduling Problems[J].自动化学报(英文版),2019,6(4):904-916,13.

基金项目

This work was supported in part by the National Natural Science Foundation of China (61603169, 61773192, 61803192), in part by the fund-ing from Shandong Provincial Key Laboratory for Novel Distributed Com-puter Software Technology and in part by Singapore National Research Foundation (NRF-RSS2016-004). (61603169, 61773192, 61803192)

自动化学报(英文版)

OACSCDCSTPCD

2329-9266

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