Abstract The structure and principle of ant colony algorithm are introduced. Its excellence and deficiency are analyzed, and several important improved models are reviewed. Based on MaxMin Ant Systems (MMAS), an adaptive improved model is put forward. To achieve adaptive adjustment of parameters and enhance the performance of the proposed algorithm, the weighting coefficient, state transferring rule and pheromone increment mode are improved. To testify the performance of the improved algorithm, numerical experiment is made and the result shows the improved algorithm is effective.
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2007, Vol. 20 
