A matheuristic and imitation learning-driven evolutionary algorithm for the flexible job shop scheduling benchmark problem with discrete operation sequence flexibility.

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Bibliographic Details
Title: A matheuristic and imitation learning-driven evolutionary algorithm for the flexible job shop scheduling benchmark problem with discrete operation sequence flexibility.
Authors: Cheng, Weiyao1 (AUTHOR), Zhang, Chaoyong1 (AUTHOR), Meng, Leilei2 (AUTHOR) mengleilei@lcu-cs.com, Zhang, Biao2 (AUTHOR), Sang, Hongyan2 (AUTHOR)
Source: International Journal of Production Research. May2026, Vol. 64 Issue 9, p3564-3587. 24p.
Database: Business Source Ultimate
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