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

  • Fevrier ValdezEmail author
  • Francisco Moreno
  • Patricia Melin
Chapter
First Online:
Part of the Studies in Computational Intelligence book series (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.

Keywords

TSP (Travelling Salesman Problem) ACO (Ant Colony Optimization) Bio-inspired algorithms GA (Genetic Algorithm) SA (Simulated Annealing) 
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Notes

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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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Fevrier Valdez
    • 1
    Email author
  • Francisco Moreno
    • 1
  • Patricia Melin
    • 1
  1. 1.Tijuana Institute of TechnologyTijuanaMexico

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