Yuan Kun

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A novel initialization method was proposed for Genetic Algorithm (GA) to generate high-quality initialization population so as to solve Flexible Job-shop Scheduling Problem (FJSP). The novel initialization method consists of two sub-methods: Global Selection (GS) and Local Selection (LS). GS is used to find different initial assignments in different runs of(More)
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