Multiobjective heuristic search in road maps

Authors:
E. Machuca;L. Mandow
Affiliations:
Dpto. Lenguajes y Ciencias de la Computación, Universidad de Málaga, Boulevar Louis Pasteur, 35, Campus de Teatinos, 29071 Málaga, Spain;Dpto. Lenguajes y Ciencias de la Computación, Universidad de Málaga, Boulevar Louis Pasteur, 35, Campus de Teatinos, 29071 Málaga, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

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Abstract

This article considers the application of exact multiobjective techniques to search in large size realistic road maps. In particular, the NAMOA^* algorithm is successfully applied to several road networks from the DIMACS shortest path implementation challenge with two objectives. An efficient heuristic function previously proposed by Tung and Chew is evaluated. Heuristic values are precalculated with search. The precalculation effort is shown to pay off during the multiobjective search stage. An improvement to the calculation procedure is also proposed, resulting in added improved time performance in many problem instances.