Cuiyu Wang, Xinyu Li, Yiping Gao*
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 1849-1870, 2023, DOI:10.32604/cmes.2023.028098
Abstract Job shop scheduling (JS) is an important technology for modern manufacturing. Flexible job shop scheduling (FJS)
is critical in JS, and it has been widely employed in many industries, including aerospace and energy. FJS enables
any machine from a certain set to handle an operation, and this is an NP-hard problem. Furthermore, due to the
requirements in real-world cases, multi-objective FJS is increasingly widespread, thus increasing the challenge of
solving the FJS problems. As a result, it is necessary to develop a novel method to address this challenge. To achieve
this goal, a novel collaborative evolutionary algorithm with two-population based… More >
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