摘要
蚁群优化算法是一种快速元启发式优化算法。该算法是受到真实的蚁群行为的启发而提出的。该算法采用分布式并行计算机制,易与其他方法想结合,具有较强的鲁棒性。先介绍蚁群算法基本原理,然后介绍蚁群算法在各领域的发展应用,最后讨论蚁群算法的可能拓展领域。
The ant colony optimization(ACO)algorithm is a fast sub-optimal meta-heuristic based on the behavior of a set of ants.Parallel computation mechanism is adopted in this algorithm.Ant colony algorithm has strong robustness and is easy to combine with other methods in optimization.Firstly,the basic principle of ant colony algorithm is introduced,then the application of the ACO are provided.Finally,the potential domains that ACO may be used are discussed.
出处
《西部探矿工程》
CAS
2008年第10期240-243,共4页
West-China Exploration Engineering
关键词
蚁群算法
组合优化
信息素
ant colony algorithm
combinational optimization
pheromone
