Referenced Items are not available for this document.
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
Published in:
Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on
(Volume:3
)
Date of Conference: 1999
- Meeting Date :
- 06 Jul 1999-09 Jul 1999
- Print ISBN:
- 0-7803-5536-9
- INSPEC Accession Number:
- 6339021
- Conference Location :
- Washington, DC
- Digital Object Identifier :
- 10.1109/CEC.1999.785494
- Product Type:
- Conference Publications
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