Distributed scheduling has attracted much attention in recent years; however, distributed scheduling problem with uncertainty is seldom considered. In this study, fuzzy distributed two-stage hybrid flow shop scheduling problem (FDTHFSP) with sequence-dependent setup time is addressed and a diversified teaching-learning-based optimization (DTLBO) algorithm is applied to optimize fuzzy makespan and total agreement index. In DTLBO, multiple classes are constructed and categorized into two types according to class quality. Different combinations of global search and neighborhood search are used in two kind of classes. A temporary class with multiple teachers is built based on Pareto rank and difference index and evolved in a new way. Computational experiments are conducted and results demonstrate that the main strategies of DTLBO are effective and DTLBO has promising advantages on solving the considered problem.

中文翻译：

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基于设置时间的模糊两阶段混合流水车间调度的多元化教学优化

分布式调度近年来备受关注；然而，很少考虑具有不确定性的分布式调度问题。在这项研究中，解决了具有序列相关设置时间的模糊分布式两级混合流水车间调度问题（FDTHFSP），并应​​用基于多样化教学的优化（DTLBO）算法来优化模糊制造跨度和总一致性指标。在 DTLBO 中，构建了多个类，并根据类的质量分为两类。全局搜索和邻域搜索的不同组合用于两种类别。基于帕累托等级和差异指数构建了一个多教师临时班级，并以新的方式演进。