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by Griselda Navarro Varela, Mark C. Sinclair
in Proceedings of the Congress on Evolutionary Computation (CEC’99
http://esewww.essex.ac.uk/~mcs/ps/cec99_nav.ps.gz
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Abstract:
Abstract- Ant Colony Optimisation (ACO) is applied to the problem of routing and wavelength-allocation in a multi-wavelength all-optical virtual-wavelength-path routed transport network. Three variants of our ACO algorithm are proposed: local update (LU), global update/ distance (GU/D) and global update/occupancy (GU/O). All three extend the usual practice that ants are attracted by the pheromone trail of ants from their own colony: in our work, the artificial ants are also repelled by the pheromone of other colonies. Overall, the best ACO variant, GU/O, provides results that approach those of an earlier problem-specific heuristic on small- and medium-sized networks. 1
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