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A HYBRID GENETIC ALGORITHM APPROACH FOR DISASSEMBLY LINE BALANCING

机译:分解线平衡的混合遗传算法

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In this paper, we consider a disassembly line balancing problem (DLBP) with multiple objectives that requires the assignment of disassembly tasks to a set of ordered disassembly workstations while satisfying the disassembly precedence constraints and optimizing the effectiveness of several measures. A hybrid genetic algorithm (HGA) that combines a local search procedure with genetic algorithm (GA) is proposed to solve the DLBP. The proposed algorithm is tested on a numerical example taken from the literature and the computation results show the effectiveness of the algorithm.
机译:在本文中,我们考虑了具有多个目标的拆装线平衡问题(DLBP),该问题要求将拆装任务分配给一组有序的拆装工作站,同时满足拆装优先级约束并优化几种措施的有效性。提出了一种结合了局部搜索过程和遗传算法(GA)的混合遗传算法(HGA)来解决DLBP问题。对本文提出的算法进行了数值模拟,结果表明该算法是有效的。

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