微粒群优化算法(Particle Swarm Optimization,PSO算法)源于鸟群和鱼群群体运 动行为的研究，是一种新的群体智能优化算法，是演化计算领域中的一个新的分支。它 的主要特点是原理简单、参数少、收敛速度较快，所需领域知识少。该算法的出现引起 了学者们极大的关注，已在函数优化、神经网络训练、组合优化、机器人路径规划等领 域获得了广泛应用，并取得了较好的效果。尽管粒子群优化算法发展近十年，但无论是 理论分析还是实践应用都尚未成熟，有大量的问题值得研究。 -

Robust Particle Swarm toolbox implementing Trelea, Common, and Clerc types along with an alpha version of change detection. This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and c

蚁群优化算法作为群智能理论的主要算法之一, 已经成功应用在众多研究领域的优化问题上,群算法代码，对初学者有用。-Ant colony optimization algorithm of swarm intelligence theory as one of the main algorithms have been successfully applied in many research fields optimization problems, swarm algorithm code, u