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An ant colony optimization approach to a permutational flowshop scheduling problem with outsourcing allowed

机译:允许外包的置换流程车间调度问题的蚁群优化方法

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摘要

This paper deals with the scheduling problem of minimizing the makespan in a permutational flowshop environment with the possibility of outsourcing certain jobs. It addresses this problem by means of the development of an ant colony optimization-based algorithm. This new algorithm, here named as flowshop ant colony optimization is composed of two combined ACO heuristics. The results show that this new approach can be used to solve the problem efficiently and in a short computational time.
机译:本文讨论了在置换流水车间环境中将工期最小化的调度问题,并可能外包某些工作。它通过开发基于蚁群优化的算法解决了这个问题。这种新算法在这里称为Flowshop蚁群优化,由两个组合的ACO启发式算法组成。结果表明,该新方法可用于在短时间内有效地解决问题。

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