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Parallel implementation of ant colony optimization (ACO) can reduce the computational time obviously for the large scale combinatorial optimization problem. A novel parallel ACO algorithm is proposed in this paper, which use dynamic transition probability to enlarge the search space by stimulating more ants choosing new path at early stage of the algorithm; use new parallel strategies to improve the...
An adaptive parallel ant colony algorithm (PACO) is presented. In the algorithm, we propose a strategy for information exchange between processors which make each processor choose its partner to communicate and update the pheromone adaptively. We also propose a method of adjusting the time interval of information exchange adaptively according to the diversity of the solutions so as to increase the...
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