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Squeezing branch and bound algorithm for the machine-fixed, machining-assembly flowshop scheduling problem

机译:机加工,加工装配流水车间调度问题的压缩分支定界算法

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This paper proposes a squeezing branch and bound (squeezing B&B) algorithm for solving the machine-fixed, machining-assembly flowshop scheduling problem to minimise makespan. The squeezing B&B is a B&B-based heuristic algorithm which searches for a pre-specified number of promising nodes in parallel at each branching level and terminates the search without any backtracking when the branching tree reaches to the bottom level. Since the squeezing B&B selects parent nodes according to the minimum lower bound rule, a tight lower bound and a dominance rule are also proposed and incorporated into the squeezing B&B for searching a near-optimal schedule more effectively. Numerical experiments are implemented to demonstrate that the proposed method is useful for efficiently obtaining the optimal or near-optimal schedule within a reasonable computation time.
机译:提出了一种压缩分支定界(B&B)算法,用于解决机器固定,加工装配流水作业的调度问题,以最大程度地缩短制造周期。压缩B&B是一种基于B&B的启发式算法,它在每个分支级别并行搜索预定数量的有前途节点,并在分支树达到最低级别时终止搜索而没有任何回溯。由于压缩B&B根据最小下限规则选择父节点,因此还提出了严格的下限和优势规则,并将其合并到压缩B&B中,以更有效地搜索接近最佳的调度。数值实验表明,该方法可在合理的计算时间内有效地获得最优或接近最优的调度方案。

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