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International Journal of Production Research Volume 61, 2023 - Issue 2
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Research Articles

Application research of a new neighbourhood structure with adaptive genetic algorithm for job shop scheduling problem

Zhongyuan Lianga Advanced Manufacturing Technology Centre, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaView further author information
,
Mei Liub College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaView further author information
,
Peisi Zhonga Advanced Manufacturing Technology Centre, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaCorrespondence[email protected]
View further author information
&
Chao Zhanga Advanced Manufacturing Technology Centre, Shandong University of Science and Technology, Qingdao, People’s Republic of ChinaView further author information
Pages 362-381 | Received 18 Apr 2021, Accepted 08 Nov 2021, Published online: 24 Dec 2021

Citations (5)

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Read on this site (3)

Amir Ahmadi-Javid, Maryam Haghi & Pedram Hooshangi-Tabrizi. (2024) Integrated job-shop scheduling in an FMS with heterogeneous transporters: MILP formulation, constraint programming, and branch-and-bound. International Journal of Production Research 62:9, pages 3288-3304.
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Qiangda Yang, Hongbo Gao, Ning Dong & Peng Liu. (2024) An elitist cuckoo search algorithm for combined heat and power economic dispatch. International Journal of Production Research 62:3, pages 846-866.
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Omar Abbaas & Jose A. Ventura. (2023) A multi-agent resource bidding algorithm for order acceptance and assembly job shop scheduling. International Journal of Production Research 0:0, pages 1-28.
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Articles from other publishers (2)

Yi Cheng, Zhijun Xie, Yu Xin, Kewei Chen & Roozbeh Zarei. (2024) Flexible Job Shop Scheduling Method for Optimizing Mold Resource Setup Time. IEEE Access 12, pages 33486-33503.
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Pei Miao, Yuewei Bai & Changtao Pang. (2022) Research on robot machining path planning technology for NURBS surface. Research on robot machining path planning technology for NURBS surface.

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