搜索资源列表
pso(sphere)
- 标准PSO算法,运用SPHERE测试函数,最终收敛于0-standard PSO algorithm, using SPHERE test function, eventually converge to 0
c-pso
- c语言的pso算法,用测试函数shpere验证的 还行,大家多支持哈
测试PSO算法的新的组合测试函数
- Novel Composition Test Functions for Numerical Global Optimization func_test.m is the main program, a basic PSO algorithm PSO_func.m is attached. SIS_novel_func.m is the function program,including six composition functions f=SIS_novel_func(x,f
Rastrigrin matlab平台下的测试函数Rastrigrin
- matlab平台下的测试函数Rastrigrin,对于用来测试粒子群、遗传等智能算法的性能非常有用-matlab platform test function Rastrigrin, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
PSO
- 一个Matlab PSO算法简单例子。测试函数为Griewank函数-A simple example of Matlab PSO algorithm
pso
- 带有测试函数的PSO算法源代码,用matlab开发-Test function with the source code of the PSO algorithm, developed using matlab
power-system-problem-based-on-PSO
- 利用粒子位置和速度的改变更新,在熟悉多目标粒子群算法的基础上利用测试函数对该算法进行仿真,并对仿真结果进行优化。-The particle position and velocity changes update in the familiar multi-objective particle swarm optimization based on the use of test functions to simulate the algorithm, and the optimization
pso4
- 此文件为Matlab编的一个基本pso算法,所用测试函数为 Rastingin-Matlab prepared this document for a basic PSO algorithm, used in the test function Rastingin
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-CODE
- 以Rosenbrock矩阵做为测试函数的微粒群算法的一些源码-Rosenbrock matrix in order to function as a test of the Particle Swarm Optimization of a number of source
opt4j-2.0
- Java平台的启发式优化算法,包含了多目标进化算法(SPEA2和NSGA2),多目标差异进化,PSO和单目标模拟退火算法。并且包含了ZDT,DTLZ和WFG等测试函数-Opt4J is a framework for applying meta-heuristic optimization algorithms to arbitrary optimization problems. The Opt4J framework currently includes a multi-obje
pso
- 用于实现粒子群算法的matlab工具包,带有一些测试函数-particle swarm optimization toolbox for matlab
constriction-pso
- Constriction PSO 代码,测试函数为Rastrigin-Constriction PSO code, test function Rastrigin
constriction_hexiaofei
- 这个Constriction pso 界面提供了10个可选择的测试函数,在界面可以输入粒子数和维度以及迭代次数,同时界面将输出全局最优和得到当前最优所需的迭代次数。里面有一个TXT文档有一些操作说明;-The Constriction pso interface provides 10 selectable test function, can enter the number of particles in the interface and the dimensions and the nu
basic-pso
- 基本粒子群算法的matlab实现,粒子群是二维的,其中已给出多个测试函数。-Particle swarm optimization matlab implementation, PSO is a two-dimensional, which has given more than one test function.
pso
- 自己写的最基本的pso测试函数是x^2+y^2,内置6个函数可供选择-original pso
PSO
- 粒子群算法改进程序和一些测试函数的编写比原算法比较好(The improvement program of particle swarm optimization and the writing of some test functions are better than those of the original algorithm)
Griewank
- 用于非线性算法的测试用到的函数,Girewank,文件中包含pso测试案例,有需要可以拿走。(The function used for testing nonlinear algorithms,Girewank,contains PSO test cases in the file, and it needs to be taken away.)
Rastrigin
- 用于非线性算法的测试用到的函数,Rastrigin,文件中包含pso测试案例,有需要可以拿走。(The function used for testing nonlinear algorithms, Rastrigin, contains PSO test cases in the file, and it needs to be taken away.)
PSO
- 一个简化版的粒子群算法代码,适合初步学习使用。内含6个测试函数(Code of a simple PSO algorithm, including six test functions)