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A hybrid iterated greedy algorithm for the distributed no-wait flow shop scheduling problem

机译:分布式无等待流水车间调度问题的混合迭代贪婪算法

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This paper proposes a hybrid iterated greedy (HIG) algorithm to solve the distributed no-wait flow shop scheduling problem (DNWFSP) with the makespan criterion. The HIG mainly consists of four components, i.e. initialization phase, construction and destruction, local search, acceptance criterion. In the initialization phase, a modified NEH (Nawaz-Enscore-Ham) is proposed to generate a promising initial solution. In the local search phase, four local searching methods based on problem properties (i.e. insert move within factory, insert move between factories, swap move between factories) are proposed to enhance searching ability. The effectiveness of the initialization phase and local search method is shown by numerical comparison, and the comparisons with the recently published iterated greedy algorithms demonstrate the high effectiveness and searching ability of the proposed HIG for solving the DNWFSP.
机译:本文提出了一种混合迭代贪婪(HIG)算法,以解决MakeSpan标准的分布式无等待流程店调度问题(DNWFSP)。 HIG主要由四个组成部分组成,即初始化阶段,建筑和破坏,本地搜索,验收标准。在初始化阶段,建议修改的NEH(Nawaz-enscore-HAM)以产生有希望的初始解决方案。在本地搜索阶段,提出了基于问题属性的四种本地搜索方法(即工厂内的插入移动,工厂之间的插入移动,交换工厂之间的转移)以增强搜索能力。初始化阶段和本地搜索方法的有效性由数值比较示出,与最近发布的迭代贪婪算法的比较证明了所提出的HIG用于解决DNWFSP的高效率和搜索能力。

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