Characterizing Search Spaces

Roy Rada · Maryland Shared Open Access Repository (USMAI Consortium) · 2020

A heuristic is good on a search space to the extent that it llows the prediction of which states are near to the goal. In this paper heuristics are investigated on several different search spaces. A measure is proposed for assessing the predictive accuracy of a given heuristic on a given search space. The measure sheds light on characteristics of the Traveling Salesman Problem that make it computationally more difficult to solve than the Minimum Spanning-Tree Problem.

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