Journal of Heuristics
Parallel Ant Colonies for Combinatorial Optimization Problems
Proceedings of the 11 IPPS/SPDP'99 Workshops Held in Conjunction with the 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing
Ant Colony Optimization
Ant colony system with communication strategies
Information Sciences—Informatics and Computer Science: An International Journal
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Image edge detection using ant colony optimization
WSEAS Transactions on Signal Processing
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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.