Quantum ant colony optimization with application

@article{Li2010QuantumAC,
  title={Quantum ant colony optimization with application},
  author={Panchi Li and Kaoping Song and Erlong Yang},
  journal={2010 Sixth International Conference on Natural Computation},
  year={2010},
  volume={6},
  pages={2989-2993}
}
Aiming at the shortcoming of ant colony optimization of being only suitable for discrete problems and holding a slow convergence speed, a novel algorithm for continuous optimization problems is presented. In this algorithm, each ant carries a group of qubits which represents the position of its own. First, the destination to which ant want to move is selected according to the select probability based on pheromone information and heuristic information. Then, the ant's own qubits are updated by… CONTINUE READING
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