A preliminary study for multiple ant colony system with new communication strategies

  • Authors:
  • Issmail Ellabib;Otman Basir

  • Affiliations:
  • Dept. of Systems Design Engineering, University of Waterloo, Ontario, Canada;Dept. of Electric and Computer Engineering, University of Waterloo, Ontario, Canada

  • Venue:
  • ICCOM'05 Proceedings of the 9th WSEAS International Conference on Communications
  • Year:
  • 2005

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Abstract

In this paper we apply the concept of parallel processing to enhance the performance of the Ant Colony System algorithm. New communication strategies based on a weighting scheme are introduced under three different types of interactions. The performance of the Multiple Ant Colony System employing these strategies applied to the Traveling Salesman Problem is investigated and evaluated with respect to solution quality and computational effort. The results demonstrate that the Multiple Ant Colony System outperforms the sequential Ant Colony System. The study indicates that the weighting scheme yields a positive influence on performance, particularly in strategies that share pheromone information among all colonies.