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International Workshop on Hybrid Metaheuristics

HM 2007: Hybrid Metaheuristics pp 45–56Cite as

Guiding ACO by Problem Relaxation: A Case Study on the Symmetric TSP

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 4771)

Abstract

In this paper the influence of structural information obtained from a problem relaxation on the performance of an ACO algorithm for the symmetric TSP is studied. More precisely, a very simple ACO algorithm is guided by including Minimal Spanning Tree information into the visibility. Empirical results on a large number of benchmark instances from TSPLIB are presented. The paper concludes with remarks on some more elaborate ideas for using problem relaxation within ACO.

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  • DOI: 10.1007/978-3-540-75514-2_4
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Authors and Affiliations

  1. Institute for Operations Research, ETH Zurich, Raemistrasse 101, CH-8092 Zurich, Switzerland

    Marc Reimann

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  1. Marc Reimann
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    © 2007 Springer-Verlag Berlin Heidelberg

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    Reimann, M. (2007). Guiding ACO by Problem Relaxation: A Case Study on the Symmetric TSP. In: , et al. Hybrid Metaheuristics. HM 2007. Lecture Notes in Computer Science, vol 4771. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75514-2_4

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    • DOI: https://doi.org/10.1007/978-3-540-75514-2_4

    • Publisher Name: Springer, Berlin, Heidelberg

    • Print ISBN: 978-3-540-75513-5

    • Online ISBN: 978-3-540-75514-2

    • eBook Packages: Computer ScienceComputer Science (R0)