binary ant colony algorithms 二元蚁群算法
Genetic-Ant Colony Algorithms 遗传蚁群混合算法
multiple ant colony algorithms 多道蚁群算法
Novel Clustering Ant Colony Algorithms 新型聚类蚁群算法
ant colony optimization algorithms 蚁群算法
Ant Colony System Algorithms 蚁群系统算法
The Ant Colony Algorithms is a new method for optimization, which is based on the research on the ant’s find food and simulate the process of cooperate of ant in nature.
蚁群算法是一种随机搜索算法，它基于对自然界真实蚁群的集体觅食行为的研究，模拟真实的蚁群协作过程。
参考来源 - 蚁群算法在物流运输调度系统中的研究Ant colony algorithms have widely applied to solve many combinatory problems.
蚁群算法在许多组合优化问题中获得了广泛的应用。
参考来源 - 基于蚁群算法的自组网路由技术研究·2,447,543篇论文数据，部分数据来源于NoteExpress
So it is proved the ant colony algorithms are feasible in the optimized design of gas transmission pipelines.
从而证明了蚁群算法应用于天然气输送管道的优化设计是可行的。
An effective method based on the theory of evidence is put forth to improve the searching performance of basic ant colony algorithms.
针对基本蚁群算法中存在的早熟现象，提出了基于证据理论的搜索方法。
Ant colony algorithms are robust and adaptable as novel optimization methods.
蚁群算法作为一种新型的优化方法，具有很强的适应性和鲁棒性。
应用推荐