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- W2946652473 abstract "This article presents a two-stage flow-shop problem with a batch machine followed by a discrete machine to minimize makespan. Jobs from incompatible job families should be processed on the discrete machine within a limited waiting time after completion of the batch process, which deviates from the instability of intermediate products in many industries, such as semiconductor and metal-rolling industries. Tight lower bounds and three heuristics are developed based on the problem’s properties. Then, a hybrid membrane computing metaheuristic called the HMC algorithm is proposed, in which a dynamic membrane structure is applied to perform effective exploration, and a variable neighbourhood search is embedded in each iteration. In addition, a problem-dependent speed-up neighbourhood is employed to improve the efficiency. Numerical experiments demonstrate that the proposed algorithms can achieve competitive performance compared with state-of-the-art algorithms." @default.
- W2946652473 created "2019-05-29" @default.
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- W2946652473 date "2019-05-17" @default.
- W2946652473 modified "2023-09-24" @default.
- W2946652473 title "A two-stage flow-shop scheduling problem with incompatible job families and limited waiting time" @default.
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- W2946652473 doi "https://doi.org/10.1080/0305215x.2019.1593974" @default.
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