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An Enhanced tabu search algorithm to minimize a bi-criteria objective inn batching and scheduling problems on unrelated-parallel machines withn desired lower bounds on batch sizes

机译:增强型禁忌搜索算法,可将不相关的并行机器上的双标准目标旅馆的批处理和调度问题减至最少,并具有所需的批处理下限

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摘要

This paper addresses a sequence- and machine-dependent batch scheduling problem on a set of unrelated-parallel machines where the objective is to minimize a linear combination of total weighted completion time and total weighted tardiness. In particular, batch scheduling disregards the group technology assumptions by allowing for the possibility of splitting pre-determined groups of jobs into batches with respect to desired lower bounds on batch sizes. With regard to bounds on batch sizes, the M
机译:本文解决了一组不相关的并行机器上依赖于序列和机器的批处理调度问题,其目的是最小化总加权完成时间和总加权拖延时间的线性组合。特别地,批处理调度通过允许将预定的作业组相对于批处理大小的期望下限分成批处理而无视组技术假设。关于批量的界限,M

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