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Ant Colony System for solving the traveling Salesman Problem Considering the Overlapping Edge of Global Best Path

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2011, 16(3), pp.203-210
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

이승관 1 Kang, Myung-Ju 2

1경희대학교
2청강문화산업대학교

Accredited

ABSTRACT

Ant Colony System is a new meta heuristics algorithms to solve hard combinatorial optimization problems. It is a population based approach that uses exploitation of positive feedback as well as greedy search. It was first proposed for tackling the well known Traveling Salesman Problem. In this paper, we propose the searching method to consider the overlapping edge of the global best path of the previous and the current. This method is that we first determine the overlapping edge of the global best path of the previous and the current will be configured likely the optimal path. And, to enhance the pheromone for the overlapping edges increases the probability that the optimal path is configured. Finally, the performance of Best and Average-Best of proposed algorithm outperforms ACS-3-opt, ACS-Subpath and ACS-Iter algorithms.

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