The hyper-cube framework for ant colony optimization

  title={The hyper-cube framework for ant colony optimization},
  author={Christian Blum and Marco Dorigo},
  journal={IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics)},
Ant colony optimization is a metaheuristic approach belonging to the class of model-based search algorithms. In this paper, we propose a new framework for implementing ant colony optimization algorithms called the hyper-cube framework for ant colony optimization. In contrast to the usual way of implementing ant colony optimization algorithms, this framework limits the pheromone values to the interval [0,1]. This is obtained by introducing changes in the pheromone value update rule. These… CONTINUE READING
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