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Abstract

Ant-based algorithms constitute a metaheuristic successfully applied to solve combinatorial optimization problems. This paper presents the computational results of the application of an ants-algorithm, called the Rank-Based Ant System, to solve the Undirected Rural Postman Problem. Because this is a NP-hard problem, several approximate methods have been proposed to solve it. The results reported in this paper improve some of the ones reached by other approximate methods applied to the problem.

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Pérez-Delgado, M.L. (2009). Rank-Based Ant System to Solve the Undirected Rural Postman Problem. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_74

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

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