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In this paper, a hybrid integer programming model is proposed for flexible job-shop scheduling problem(FJSP). Using crossover operator and mutation operator, the hybrid particle swarm optimization(HPSO) algorithm with basic particle swarm optimization(BPSO) algorithm and genetic algorithm(GA) is employed to solve this problem. Compared with BPSO algorithm, HPSO algorithm has a potential to reach a...
This paper presents an approach based on idle time windows (ITWs) and particle swarm optimization (PSO) algorithm to solve dynamic scheduling of multi-task for hybrid flow-shop. The idea of ITW is introduced, then the dynamic updating rules of the sets of ITWs are explained in detail. With the sets of ITWs of machines as constraints, the mathematical model is presented for dynamic scheduling of multi-task...
This paper presents an approach to solve dynamic scheduling of multi-task for hybrid flow-shop with the objective of minimizing the energy consumption. The idea of idle time window (ITW) is introduced, then the dynamic updating rules of the sets of ITWs are explained in detail. With the sets of ITWs of machines as constraints, the mathematical model is proposed for dynamic scheduling of multi-task...
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