Optimizing ACS for Big TSP Problems Distributing Ant Parameters

Abstract

Ant colony algorithms are a group of heuristic optimization algorithms that have been inspired by ants foraging for food. In these algorithms there are some agents, the ants, that for finding the suitable solution, search the solution space. Ant colony algorithms have some parameters like relative pheromone importance on trail and pheromone decay… (More)

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Cite this paper

@article{Mohammadi2006OptimizingAF, title={Optimizing ACS for Big TSP Problems Distributing Ant Parameters}, author={F. A. Mohammadi and A. H. Fathi and M. T. Manzuri}, journal={2006 International Symposium on Communications and Information Technologies}, year={2006}, pages={839-842} }