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A Grouped Fruit-Fly Optimization Algorithm for the No-Wait Lot Streaming Flow Shop Scheduling

机译:无批流流水车间调度的分组果蝇优化算法

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Lot streaming involves splitting products into several sublots to enhance the processing flexibility. In this paper the no-wait lot streaming flow shop scheduling problem is discussed with the constraint of unintermingling consistent-size sublots. The number of sublots, sublots sizes and the sequence of products are optimized by a proposed grouped fruit fly optimization algorithm (GFOA). We design three basic neighborhood structures and a structure based on the no-wait property to generate new solutions. A speed-up evaluation method is presented to improve the efficiency. Numerical test results and comparisons are provided, which demonstrate the effectiveness of the proposed GFOA.
机译:批量流处理涉及将产品分成几个子批次,以增强处理灵活性。在无大小一致的子批不混合的约束下,讨论了无等待流的流水车间调度问题。通过建议的分组果蝇优化算法(GFOA)优化子批次的数量,子批次的大小和产品序列。我们设计了三个基本的邻域结构以及一个基于no-wait属性的结构,以生成新的解决方案。为了提高效率,提出了一种加速评估方法。提供了数值测试结果和比较结果,证明了所提出的GFOA的有效性。

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