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Effects of Cluster Location on Human Performance on the Traveling Salesperson Problem

机译:集群位置对旅行销售员问题上员工绩效的影响

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Most models of human performance on the traveling salesperson problem involve clustering of nodes, but few empirical studies have examined effects of clustering in the stimulus array. A recent exception varied degree of clustering and concluded that the more clustered a stimulus array, the easier a TSP is to solve (Dry, Preiss, & Wagemans, 2012). However, a limitation to this conclusion arises because degree of clustering may have been partially confounded with cluster location. An experiment was conducted to test the effects of cluster location while holding degree of clustering constant. Stimuli with a cluster near a boundary were solved more quickly and accurately than stimuli with the same cluster located more centrally. The results support and extend the previous findings of MacGregor, Ormerod, & Chronicle (1999). They also qualify the results of Dry et al. (2012). To the extent that degree of clustering may have been confounded with the location of clusters in their stimuli, it is unclear to what extent each factor may have affected performance.
机译:关于旅行推销员问题的大多数人类绩效模型都涉及节点的聚类,但是很少有实证研究检查了刺激数组中聚类的影响。最近的一个例外是不同程度的聚类,得出的结论是,刺激阵列聚类越多,TSP越容易解决(Dry,Preiss和Wagemans,2012年)。但是,由于聚类程度可能已经部分地与聚类位置混淆了,因此对该结论提出了限制。进行实验以测试聚类位置的影响,同时保持聚类程度恒定。与边界附近的群集相比,具有靠近边界的群集的刺激可以更快,更准确地解决。结果支持并扩展了MacGregor,Ormerod和Chronicle(1999)的先前发现。他们还证明了Dry等人的结果。 (2012)。在某种程度上,聚类程度可能与聚类在刺激中的位置相混淆,目前尚不清楚每个因素在多大程度上影响了性能。

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