The Ant Colony Optimization Metaheuristic : Algorithms , Applications , and Advances

@inproceedings{Dorigo2001TheAC,
  title={The Ant Colony Optimization Metaheuristic : Algorithms , Applications , and Advances},
  author={Marco Dorigo and Franklin D. Roosevelt},
  year={2001}
}
Ant Colony Optimization (ACO) [31, 32] is a recently propose d metaheuristic approach for solving hard combinatorial optimization proble ms. The inspiring source of ACO is the pheromone trail laying and following behavior o f eal ants which use pheromones as a communication medium. In analogy to the biol ogical example, ACO is based on the indirect communication of a colony of simp le agents, called (artificial) ants, mediated by (artificial) pheromone trail s. The pheromone trails in ACO serve… CONTINUE READING
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