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• W2897747641 abstract "This paper investigates a two-machine flow shop problem with release dates in which the job processing times are variable according to a learning effect. The bicriterion is to minimize the weighted sum of makespan and total completion time subject to release dates. We develop a branch-and-bound (B&B) algorithm to solve the problem by using a dominance property, several lower bounds, and an upper bound to speed up the elimination process of the search tree. We further propose a multiobjective memetic algorithm (MOMA), enhanced by an initialization strategy and a global search strategy, to obtain the Pareto front of the problem. Computational experiments are also carried out to examine the effectiveness and the efficiency of the B&B algorithm and the MOMA algorithm." @default.
• W2897747641 created "2018-10-26" @default.
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• W2897747641 date "2018-10-17" @default.
• W2897747641 modified "2023-10-17" @default.
• W2897747641 title "Bicriterion Optimization for Flow Shop with a Learning Effect Subject to Release Dates" @default.
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• W2897747641 doi "https://doi.org/10.1155/2018/9149510" @default.
• W2897747641 hasPublicationYear "2018" @default.
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