Ant Colony Optimization is a bio-inspired technique that can be applied to solve hard optimization problems. A key issue is how to design the communication mechanism between ants that allows them to effectively solve a problem. We propose a novel approach to this issue by evolving the current pheromone trail update methods. Results obtained with the TSP show that the evolved strategies perform well and exhibit a good generalization capability when applied to larger instances. © 2010 Springer-Verlag.
CITATION STYLE
Tavares, J., & Pereira, F. B. (2010). Evolving strategies for updating pheromone trails: A case study with the TSP. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6239 LNCS, pp. 523–532). https://doi.org/10.1007/978-3-642-15871-1_53
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