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发布时间：2021-06-17

论文类型：期刊论文

发表时间：2021-01-10

发表刊物：JOURNAL OF INDUSTRIAL AND MANAGEMENT OPTIMIZATION

卷号：16

期号：6

页面范围：2943-2969

ISSN号：1547-5816

关键字：IPPS; flexible job-shop scheduling; operation flexibility; processing flexibility; Genetic Algorithm

摘要：This paper considers the Flexible Job-shop Scheduling Problem with Operation and Processing flexibility (FJSP-OP) with the objective of minimizing the makespan. A Genetic Algorithm based approach is presented to solve the FJSP-OP. For the performance improvement, a new and concise Four-Tuple Scheme (FTS) is proposed for modeling a job with operation and processing flexibility. Then, with the FTS, an enhanced Genetic Algorithm employing a more efficient encoding strategy is developed. The use of this encoding strategy ensures that the classic genetic operators can be adopted to the utmost extent without generating infeasible offspring. Experiments have validated the proposed approach, and the results have shown the effectiveness and high performance of the proposed approach.