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Random Walks on Local Optima Networks

机译:在局部最优网络上随机行走

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The Local Optima Networks represent combinatorial landscapes as graphs, where nodes are local optima and edges are transitions between optima. It brings a new set of metrics to characterize them. Here we investigate the behavior of random walks on such oriented and weighted networks using NK landscapes and QAP instances as examples. We show that random walks are useful to characterize the structure of the corresponding LONs and give interesting information about the relationships between search difficulty and LON structure.
机译:局部最优网络将组合景观表示为图形,其中节点是局部最优,边是最优之间的过渡。它带来了一组新的指标来表征它们。在这里,我们以NK景观和QAP实例为例,研究了这种定向和加权网络上随机游动的行为。我们表明随机游走可用于表征相应LON的结构,并提供有关搜索难度与LON结构之间关系的有趣信息。

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