中文说明：蚁群优化（ACO）是受蚂蚁社会行为的启发而提出的一组概率元启发式算法和一种智能优化算法。蚁群算法也被归类为群体智能方法，因为实现了这种范式，通过模拟蚂蚁在这些算法结构中的行为。
English Description：
Ant Colony Optimization (ACO) are a set of probabilistic metaheuristics and an intelligent optimization algorithms, inspired by social behavior of ants. ACO algorithms are also categorized as Swarm Intelligence methods, because of implementation of this paradigm, via simulation of ants behavior in the structure of these algorithms. First ACO algorithm is proposed by Marco Dorigo in his PhD thesis, in 1991, as Ant System algorithm. Various versions of ant algorithms are proposed by several researchers, such as Max-Min Ant System, Ant Colony System, and ACOR, the ACO for continuous domains. If you would like to read more about ant algorithms, you can see the related article in Wikipedia (h