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Local Optima Networks of the Permutation Flowshop Scheduling Problem: Makespan vs. total flow time

机译:置换Flowshop调度问题的局部最优网络:Makespan与总流动时间

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Local Optima Networks were proposed to understand the structure of combinatorial landscapes at a coarse-grained level. We consider a compressed variant of such networks with features that are meaningful for the study of search difficulty in the context of local search. In particular, we investigate different landscapes of the Permutation Flowshop Scheduling Problem. The insert and 2-exchange neighbourhoods are considered, and two different objective functions are taken into account: the makespan and the total flow time. The aim is to analyse the network features in order to find differences between the landscape structures, giving insights about which features impact algorithm performance. We evaluate the correlation between landscape properties and the performance of an Iterated Local Search algorithm. Visualisation of the network structure is also given, where evident differences between the makespan and total flow time are observed.
机译:提出了局部最优网络以在粗粒度级别上理解组合景观的结构。我们考虑了这种网络的压缩变体,其特征对于研究本地搜索环境下的搜索难度具有重要意义。特别是,我们研究了置换Flowshop调度问题的不同情况。考虑插入和2交换邻域,并考虑了两个不同的目标函数:制造时间和总流动时间。目的是分析网络特征,以发现景观结构之间的差异,从而深入了解哪些特征会影响算法性能。我们评估景观属性和迭代局部搜索算法的性能之间的相关性。还给出了网络结构的可视化,其中观察到了制造时间和总流动时间之间的明显差异。

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