搜索资源列表
PSO
- 粒子群算法，根据自己需要可以更改里面的参数具体情况自己更改-Particle swarm optimization, in accordance with their needs can change the parameters inside the specific circumstances of their own change
PAI
- 改进得PSO算法程序，加入了免疫克隆思想 -PSO algorithm to improve a process, joined the Immune Clonal thinking
pso-matlab
- 粒子群优化算法pso，针对不同测试函数进行了算法编写-Particle swarm optimization pso, for different test functions of the algorithm to prepare
PSO
- 粒子群算法，通过理解，自己写出的原代码，供大家参考-Particle swarm optimization, through understanding, to write their own original code, for your reference
U
- 是pso算法tsp问题！！ ！！1-PSO algorithm is tsp problem! ! ! ! ! ! 1
PSO
- 一个求解TSP问题的粒子群算法，用matlab仿真实现。-A solution of TSP problem PSO with matlab simulation.
pso
- 自编的多目标粒子群优化算法，可以运行哦。-Written and directed the multi-objective particle swarm optimization, you can run, oh.
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
- 微粒群算法C++语言实现，随机PSO算法比标准pso搜索更快-Particle Swarm Optimization C++ Language, random PSO algorithm faster than the standard PSO search
Multiobjective-pso
- 多目标问题的粒子群优化算法实现，毕设时设计的，通过运行！-The issue of multi-objective particle swarm optimization algorithm, when the Bi-based design, by running!
PSOcode1
- PSO算法的源代码，有很好的注释，用C++编写。-PSO algorithm source code, has very good notes, use of C++ to prepare.
PSO
- PSO粒子群算法，求解局部或者全局优化问题-PSO
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
- 粒子群优化算法（PSO）研究 粒子群优化算法（PSO）研究-PSO Particle Swarm Optimization Algorithm
PSOsuanfa
- PSO算法，用matlab，用C++语言的源代码-PSO algorithm, using matlab, using C++language source code
PSO
- 粒子群标准算法，共六个m文件，对于粒子群算法的初学者有用。-The standard particle swarm algorithm
PSO
- 改进粒子群聚类,通过粒子群寻优算法完成聚类过程，提高聚类精度。-improved pos
SPSO
- 智能仿生算法PSO算法的源代码，用C语言实现。在Windows平台下绝对可用！-pso algorithm codes.
pso1
- pso算法在matlab上实现，对毕业设计有用！现在对做这方面工作的学生有一定帮助-pso算法在matlab上实现
pso.files
- 基于粒子群算法，可以用于函数优化的源代码，用matlab实现-Based on Particle Swarm algorithm, can be used for function optimization of source code, implementation using matlab