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首页> 外文期刊>Expert Systems with Application >Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem
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Artificial bee colony algorithm for solving sequence-dependent disassembly line balancing problem

机译:求解序列依赖拆卸线平衡问题的人工蜂群算法

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摘要

In this paper, we consider a sequence-dependent disassembly line balancing problem (SDDLBP) 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. Since the complexity of SDDLBP increases with the number of parts of the product, an efficient methodology based on artificial bee colony (ABC) is proposed to solve the SDDLBP. ABC is an optimization technique which is inspired by the behavior of honey bees. The performance of the proposed algorithm was tested against six other algorithms. The results show that the proposed ABC algorithm performs well and is superior to the other six algorithms in terms of the objective values performance.
机译:在本文中,我们考虑了一个具有多个目标的依赖序列的拆装线平衡问题(SDDLBP),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。由于SDDLBP的复杂性随产品零件数量的增加而增加,因此提出了一种基于人工蜂群(ABC)的有效方法来解决SDDLBP。 ABC是一种受蜜蜂行为启发的优化技术。针对其他六种算法测试了所提出算法的性能。结果表明,提出的ABC算法性能良好,在目标值性能上优于其他六种算法。

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