搜索资源列表
PSO-cross
- 改进粒子群算法,带交叉因子,求解多维无约束优化问题,收敛性强。-PSO algorithm with cross operation.
PSO
- 其中包含了PSO的所有改进算法,希望可以为大家提供帮助。-Which contains all the improved algorithm of PSO, hope everyone can help.
AFIPSO
- 一种基于基本pso改进的算法程序,第一点改进是改变惯性权重,第二点是改变位置更新公式,提供了多种改进方法。-Based on the improved basic pso algorithm, the first point to improve is to change the inertia weight, the second point is to change the location update formula, offers a variety of improved metho
pso
- 改进的pso程序,包含主程序,适应度函数,粒子速度更新程式,位子跟新程序,供大家学习。-The improved pso procedure, for everybody to learn.
K-means--based-on-PSO
- 基于粒子群算法的改进k均值算法比较研究 分类中心快速确定-Particle swarm optimization algorithm based on improved k-means algorithm
PSO
- 这是matlab编写的粒子群算法,在基本粒子群的基础上,对权重系数和加速因子进行改进,提高其收敛性。-This is a matlab prepared particle swarm algorithm, based on particle swarm of weighting coefficients and the acceleration factor to improve and enhance its convergence.
matble-pso
- 带交叉因子的改进粒子群优化算法,有详尽的解释-improved pso
PSO
- Rosenbrock函数优化属于无约束函数优化问题,其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部,且为优化算法提供的信息很少,因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性,专门提出了一种改进的PSO算法,该算法引入三角函数因子,利用三角函数具有的周期振荡性,使每个粒子获得较强的振荡性,扩大每个粒子的搜索空间,引导粒子向全局极小值附近靠近,避免算法过早地收敛,陷入局部最优,从而找到Rosenbrock函数的全局极小值。大量实验结果表明,该算法具有很好的优化性能,
PSO-code
- 本文分析了粒子群优化算法的原理,研究了粒子在搜索空间飞行的轨迹,分析了使粒子群收敛的参数设置,并根据算法的特点总结了应用粒子群优化算法的步骤,给出算法中的经验参数设置.并且对每一次改进的利弊都作出了分析与对比,为再一次改进作好准备。经过多次的算法改进与实验测试,再跟据实验数据的比较,验证了本算法改进的可行性,同时应用PSO算法解决TSP问题是一种崭新的尝试.-Design and Simulation of Particle Swarm Optimization
pso-path-planning
- 文件是关于粒子群算法求解路径规划的问题,其中包括栅格障碍物环境的建立,粒子群及其改进算法的仿真程序。-Document on particle swarm algorithm path planning issues, including the establishment, PSO obstacle grid environment and improved algorithm simulation program.
pso
- 采用改进的启发式搜索粒子群算法进行非线性寻优 具有比较好的效果-The improved heuristic search PSO nonlinear optimization has better results
PSO-calculation
- 利用改进粒子群算法,求解电力系统最优潮流问题,具有较快的收敛速度和精度,并有文献说明。-The improved particle swarm algorithm to solve the optimal power flow problem, has a faster convergence speed and accuracy, and described in the literature.
PSO-Hybrid-Algorithm
- PSO多种混合算法,算法内包含了5种改进的PSO算法,是一个研究生的毕业设计源代码的一部分,对学习PSO有很大帮助-PSO mixed algorithm, algorithm contains 5 kinds of improved PSO algorithm, is part of a graduate design source code, very helpful for learning PSO
PSO
- 粒子群算法代码。经典粒子群算法,可根据代码学习或改进。-PSO algorithm code. Classical particle swarm optimization, can learn or improve according to the code.
M-PSO
- 在粒子群算法的基础上进行改进的动态粒子群寻优算法,对于动态环境可以完成有效寻优,跟踪动态极值-On the basis of improved particle swarm optimization dynamic particle swarm optimization algorithm for dynamic environment optimization can be done effectively, track dynamic extremes
GA(PSO)
- 遗传算法改进的粒子群算法,分享出来,希望对大家有用!-Genetic algorithm, the improved particle swarm algorithm, sharing, the hope that useful to everybody!
PSO
- pso在惯性权重,学习因子,位置更新公式的改进- PSO inertia weight, location update formula and improve procedures on the learning factor
Modified-lbest-PSO-on-GPU
- 这个是基于环形拓扑结构的约束微粒群算法,对原来的算法做了改进,只用到了一个邻居节点,效果与基本的微粒群算法大致相当。但是在对多模函数的计算上,优于基本的微粒群算法。这个算法的运行平台是GPUmat,需要的运行环境有:Matlab, GPU, GPUmat, Visual Studio.-This the modified particle swarm optimization algorithm that based on ring toplopy with constrain conditio
pso
- 粒子群算法学习包,可以在此基础上有很大改进空间,非常适合初学者-Particle swarm algorithm learning package, can is a great improvement on the basis of the space, very suitable for beginners
PSO
- 常用的几种改进的粒子群算法,方便与其余程序连接,亲测有效。-Several commonly used improved particle swarm optimization, easy to connect with the rest of the program, effective pro-test.