On The Competitiveness Of Memoryless Strategies For The K-Canadian Traveller Problem

COMBINATORIAL OPTIMIZATION AND APPLICATIONS (COCOA 2018)(2018)

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摘要
The k-Canadian Traveller Problem (k-CTP), proven PSPACE-complete by Papadimitriou and Yannakakis, is a generalization of the Shortest Path Problem which admits blocked edges. Its objective is to determine the strategy that makes the traveller traverse graph G between two given nodes s and t with the minimal distance, knowing that at most k edges are blocked. The traveller discovers that an edge is blocked when arriving at one of its endpoints.We study the competitiveness of randomized memoryless strategies to solve the k-CTP. Memoryless strategies are attractive in practice as a decision made by the strategy for a traveller in node v of G does not depend on his anterior moves. We establish that the competitive ratio of any randomized memoryless strategy cannot be better than 2k + O (1). This means that randomized memoryless strategies are asymptotically as competitive as deterministic strategies which achieve a ratio 2k + 1 at best.
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关键词
Online algorithms, Competitive analysis, Canadian traveller problem
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