搜索资源列表
benchmarks_test_pso
- 粒子群算法(pso)标准测试函数验证程序。在一个m文件中包括了目前文献中用于验证的7个标准测试函数(Ackley等)、三维动态显示，粒子过分集中时打散等功能。旨在为学习和研究者pso算法的同仁提供一个功能较为完备、简单易懂的标准版本，对于初学者可以通过此程序快速的实现入门，以便将更多的精力投入到深层次的研究中去！同时愿与所有致力于此的朋友共同探讨pso算法的改进与应用方面(如多目标、动态系统等)的经验。-PSO algorithm (PSO) standard test function ver
psotb-beta-0.3
- matlab pso toolbox 工具箱。 pso算法的matlab实现。 其中有几个经典的测试函数。
Schafferf
- 经典的基本PSO粒子群优化算法的测试函数共享一下
Rosenbrock
- matlab平台下的测试函数Rosenbrock，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 Rosenbrock, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
PSO_case1
- 粒子群优化算法的一个寻优案例,测试函数含有多个局部极值，尝试用PSO算法寻找全局极值-a case of Particle Swarm Optimization algorithm.
GOLDSTEIN
- Matlab有关改进的PSO算法程序基于三种惯性参数改进的粒子群算法程序,并使用测试函数Goldstein进行结果比较-Matlab program for improving the PSO algorithm is based on three inertial parameters improved particle swarm optimization program and use the results of the test functions were compared Gold
psoGriewank2
- 基于分段非线性权重值的Pso算法，matlab程序，测试函数是griewank-sectionalized nonlinear weights based Pso algorithm, matlab program, the test function is griewank
Griewank
- matlab平台下的测试函数Griewank，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 Griewank, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
PSOt
- 对于pso有详尽的程序，包含数个测试函数并对于PSO有详细的介绍-For the pso have detailed procedures, including several test function and a detailed introduction to pso
PSOprogram
- 文件内含有在MATLAB基础上实现的PSO代码，测试过，能顺利运行，并且可以继续添加测试函数进行编译。-File contains MATLAB basis in the realization of PSO code, test, can run smoothly, and can continue to add the test function to be compiled.
PSO_CESHI
- 经典的基本PSO粒子群优化算法的测试函数，包括主程序和测试函数，非常经典-The classic PSO basic particle swarm optimization test functions, including the main program and test functions, very classic
pso-2
- 经典粒子群算法的matlab实现。用多维函数进行测试。并给出算法寻优迭代的效果图-Classical PSO algorithm matlab. Tested with multi-dimensional functions. And gives an iterative optimization algorithm renderings
pso-4
- 经典粒子群算法的matlab实现。用函数进行测试实验，并给出算法寻优迭代的效果图-Classical PSO algorithm matlab. Experiments with test functions, and gives an iterative optimization algorithm renderings
pso-5
- 经典粒子群算法的matlab实现代码。用函数进行测试实验，并给出算法寻优迭代的效果图-Classical PSO algorithm matlab. Experiments with test functions, and gives an iterative optimization algorithm renderings
PSO
- 提供了在Matlab上实现的粒子群优化算法例程，以Sphere函数为测试对象。-We provide the program of PSO in matlab, and choose the Sphere function as the test.
pso
- 一个简单的粒子群算法实现程序,采用原函数进行测试-A simple particle swarm algorithm program, using the original function tests
pso
- 自己写的IPSO单目标搜索算法 内部已经带有4个测试函数以供测试 使用了拉丁方设计方法 和 自适应惯性权重-Write your own internal IPSO single target search algorithm has four test functions for testing with the use of the Latin square design and adaptive inertia weight
rastrigrin-pso
- 改进惯性权值后，改进的粒子群算法收敛速度加快，为了验证其收敛速度，通过测试函数rastrigrin对其检测，效果良好-The improved inertia weight, improved particle swarm algorithm converges faster, in order to verify its convergence rate by testing its detection function rastrigrin good effect
cec13matlab
- 可用来测试智能优化算法性能，例如粒子群优化算法，人工蜂群算法等。(It can be used to test the performance of intelligent optimization algorithm, such as particle swarm optimization algorithm, artificial swarm algorithm, etc.)
PSO-Sphere
- 粒子群算法，一种智能优化算法，带有测试函数sphere(Particle swarm optimization (PSO), an intelligent optimization algorithm)