On the behavior of pheromone trial in ACO method and novel algorithms
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DOI:
https://doi.org/10.15625/1813-9663/27/3/490Abstract
Ant colony optimization (ACO) is a kind of randomized search heuristic method for solving NP-hard problems of combinatorial optimization. Experiment results have shown that these algorithms outperform other nature-inspired algorithms such that simulated annealing, genetic algorithm ect... This paper presents mathematical analysis on behavior of pheromone trail in two most popular ACO algorithms: ACS (Ant Colony System) and MMAS (Max-Min Ant System), then, suggest new ideas for improving pheromone update rules.
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Published
26-04-2012
How to Cite
[1]
Đỗ Đức Đông and H. X. Huấn, “On the behavior of pheromone trial in ACO method and novel algorithms”, JCC, vol. 27, no. 3, pp. 263–274, Apr. 2012.
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Computer Science
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