Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization

@article{Montgomery2005AutomatedSO,
  title={Automated Selection of Appropriate Pheromone Representations in Ant Colony Optimization},
  author={James Montgomery and Marcus Randall and Tim Hendtlass},
  journal={Artificial Life},
  year={2005},
  volume={11},
  pages={269-291}
}
Ant colony optimization (ACO) is a constructive metaheuristic that uses an analogue of ant trail pheromones to learn about good features of solutions. Critically, the pheromone representation for a particular problem is usually chosen intuitively rather than by following any systematic process. In some representations, distinct solutions appear multiple times, increasing the effective size of the search space and potentially misleading ants as to the true learned value of those solutions. In… CONTINUE READING
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