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pso_segment
- 粒子群优化(PSO)算法是一类随机全局优化技术，它通过粒子间的相互作用发现复杂搜索空间中的最优区域缩短寻找阈值的时间。因此，基于粒子群优化算法的图像分割以粒子群优化算法为寻优工具，建立具有自适应和鲁棒性的分割方法。从而可以在最短的时间内，准确地确定分割阈值。(Particle swarm optimization (PSO) algorithm is a kind of stochastic global optimization technique. It can find the optim
27796728PHD
- 目的是将原来只能用在单目标上的粒子群算法(PSO)应用于多目标上(The aim is to apply the particle swarm optimization (PSO), which was originally used only on a single target, to multiple targets)
mopso-better
- 代码实现多目标粒子群算法，多目标粒子群算法是基于parato原则进行的目标优化实现的算法。而此文件就是多此算法的代码MATLAB的一种实现(Multiobjective particle swarm optimization (PSO) algorithm)
粒子群
- 内含实验图片及粒子群算法，常规算法，进行图像配准(Image registration with experimental images and particle swarm optimization (PSO), conventional algorithm, image registration)
pso
- 粒子群优化算法的MATLAB代码，代码源充分。(The particle swarm optimization algorithm MATLAB code, the source of the full code.)
粒子群车辆路径
- 粒子群车辆路径规划，在二维环境下进行车辆的路径规划。(Particle swarm optimization (PSO) vehicle path planning is used for vehicle path planning in two-dimensional environment.)
改进svm
- phog方法提取图像特征，svm支持向量机进行分类，分别有GA遗传算法和PSO粒子群优化算法进行寻优。(Phog method extracted image features, SVM support vector machine classification, respectively, GA genetic algorithm and PSO particle swarm optimization algorithm for optimization.)