Ant Colony Optimization Parallel Algorithm Based on Fine-grained Model
基于细粒度模型的并行蚁群优化算法

Although a good many important results have been achieved about the research of Ant Colony Optimization (ACO) algorithm and its application,the time required to find good optimal solution is unbearable for large scale optimization problems.Therefore,ant colony optimization parallel algorithm base on fine-grained model is proposed to improve its performance in this paper.The results of experiment show that the algorithm described in this paper make the searching speed hundreds of times faster than the latest improved one.