PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优-PSO algorithm is an evolutionary algorithm, and genetic algorithm is similar, it is starting from a random solu

一篇关于粒子群算法的毕业论文，文中对算法进行了详细分析，并在Matlab环境下，对算法不同的适应度进行了仿真和分析。-A thesis on particle swarm optimization, the text of the algorithm are analyzed in detail in the Matlab environment, simulation and analysis algorithms fitness.

粒子群优化工具箱，采用Matlab编写的PSO程序工具箱-Development Notes for psopt toolbox Future plans (in no particular order): * Performance improvement: Automatically check for existence of constraints, skip boundary-checking if unconstrained. * Performance impro

MATLAB标准粒子群算法（pso）例子，求fitness中的函数最小。-MATLAB particle swarm example, seeking the fitness function is minimized.

简单的PSO算法代码，但是需要添加fitness函数。(Simple PSO algorithm code, but need to add fitness function.)