A novel ant colony optimization algorithm with random perturbation behavior (RPACO) based on combination of general ant colony optimization and stochastic mechanism is developed in this paper.
从随机优化技术出发，针对基本蚁群算法，提出了一种随机摄动蚁群优化算法。
Absrtact: Ant colony algorithm (ACA) is a meta - heuristic algorithm. In general, the setting of the parameters of the ACA is based on experiments.
摘要：蚁群算法作为一种启发式算法，其参数组合一般是通过大量实验取得的。
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