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A Comparison of ACO, GA and SA for Solving the TSP Problem

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Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

Part of the book series: Studies in Computational Intelligence ((SCI,volume 827))

Abstract

The ACO algorithm is an optimization algorithm, recognized for being very efficient in problems of finding routes and planning paths in roads. In terms of the problem of the traveling salesman, ACO algorithm has been able to find optimal solutions to the problem, we want to make a comparison with the algorithms GA and SA, to determine which of these obtains better results.

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Acknowledgements

The authors would like to express thank to the Consejo Nacional de Ciencia y Tecnología and Tecnológico Nacional de Mexico/Tijuana Institute of Technology for the facilities and resources granted for the development of this research.

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Authors and Affiliations

  1. Tijuana Institute of Technology, Calzada Tecnologico S/N, Fracc. Tomás Aquino, 22414, Tijuana, BC, Mexico

    Fevrier Valdez, Francisco Moreno & Patricia Melin

Authors
  1. Fevrier Valdez
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  2. Francisco Moreno
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  3. Patricia Melin
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Corresponding author

Correspondence to Fevrier Valdez .

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Editors and Affiliations

  1. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Oscar Castillo

  2. Division of Graduate Studies and Research, Tijuana Institute of Technology, Tijuana, Baja California, Mexico

    Patricia Melin

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Valdez, F., Moreno, F., Melin, P. (2020). A Comparison of ACO, GA and SA for Solving the TSP Problem. In: Castillo, O., Melin, P. (eds) Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine. Studies in Computational Intelligence, vol 827. Springer, Cham. https://doi.org/10.1007/978-3-030-34135-0_13

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