搜索资源列表
qpso.rar
- qpso的全局搜索性能远比基本的pso好，而且速度快。,qpso overall search performance than the basic PSO good, and fast.
psoPde-matlab
- 在基本pso的基础上做改进，引入de算法，高精度实现pso算法的寻优。-On the basis of the basic pso make improvements, the introduction of de algorithm, pso algorithm to achieve high-precision optimization.
pso--MATLAB-2
- 利用粒子群算法求最小值，对基本粒子群做了修改，使其有更好的计算效果。-Using Particle Swarm Optimization for the minimum of basic particle swarm made changes to make it a better calculation of results.
pso_expriment
- 基本种群规模改进与数值实验的PSO算法源程序，可自动保存实验数值，附有画图源代码。-Basic population size and numerical experiments to improve the PSO algorithm source code can be automatically saves numerical experiment with drawing the source code.
basic_PSO_with_w_c
- 带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写，结构清晰，便于改进和做数值实验-With contraction factor and inertia weight PSO basic particle swarm algorithm source code. Source code modular preparation, structure, clear, easy to improve and to do numerical experiments
pso-matlab
- 标准微粒群算法，采用matlab编程实例。-Standard particle swarm optimization using matlab programming examples.
pso
- 最基本的MATLAB实现的粒子群pso算法。-MATLAB realization of the basic particle swarm PSO algorithm.
pso
- 基本的粒子群算法十分清晰 便于理解 适合初学者学习应用-The basic particle swarm algorithm is very clear and easy to understand for beginners to learn the application of
PSO
- 基本的群智能算法MatLab范例程式,对刚接触PSO的新手来说,可以有初步的认知-Basic particle swarm optimization source code
pso-ppt-sample
- 微粒群优化算法 （PSO） 是一种进化计算技术 , 由Eberhart博士和kennedy博士于1995年提出。微粒群优化算法的基本思想是通过群体中个体之间的协作和信息共享来寻找最优解。 -Particle Swarm Optimization (PSO) is an evolutionary computation technique, by Dr. Eberhart and Dr. kennedy made in 1995. Particle Swarm Optimization Alg
pso
- 粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。-PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iter
pso
- PSO算法的基本matlab代码，可供初学者学习，代码简单，易学易懂-PSO algorithm is the basic matlab code, for beginners to learn the code simple, easy to understand
original
- 粒子群算法的基本程序 惯性参数线性递减 粒子群算法是一种较好的优化算法-PSO inertia parameters of the basic procedures for linear decreasing particle swarm optimization algorithm is a better
PSO
- MATLAB编写的经典粒子群程序，实现最基本的函数优化功能。-MATLAB program written in the classical PSO, to achieve the most basic function optimization.
PSO
- 带有收缩因子和惯性权重的基本PSO粒子群算法源代码。本源代码模块化编写，结构清晰，便于改进和做数值实验 -With the shrinkage factor and the basic PSO inertia weight particle swarm algorithm source code. Modular source code written in a clear structure, easy to improve and to do numerical experiments
pso-matlab--source
- 粒子群算法源程序 基本算法 ，简单易懂，可实现的非线性优化，适于求解优化问题-Source of basic particle swarm algorithm, easy to understand, enabling non-linear optimization, for solving optimization problems
PSO_Codes-Basic-Code
- This Code SimulTION PSO BASIC CODE IN MATLAB IS CODE IS VWRY USEFUL FOR UNDERESTAND PSO HOW WORK
PSO-algorithm-Matlab-program
- PSO算法的Matlab程序，本文给出了基于PSO算法的Matlab实现，给出了一个例子，通过这个例子，能学会PSO算法的基本使用-PSO algorithm Matlab program, this paper gives a PSO algorithm based on Matlab implementation, gives an example, through this example, can learn the basic use of PSO algorithm
PSO-Rastrgrin
- It is a basic PSO algorithm to solve function rastrgrin.
PSO
- 这是一个标准的基本粒子群算法，可以在此基础上加入fun函数完成解。(This is a standard basic particle swarm algorithm, which can be added fun function to complete the solution.)