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
vbpso
- 粒子群算法的vb源程序,可以自定义算法参数,实现对6个非约束性测试函数极小值的全局优化,动态显示粒子的移动。低维下,优化效果很好。直接解压,无须密码。请多指正。-PSO algorithm vb source, the algorithm can define parameters to achieve the six non-binding function tests minimum of global optimization, dynamic display particle movem
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
Optimization_of_RBF_Network
- Matlab粒子群算法优化RBF网络 采用了粒子群算法对RBF神经网络中的参数进行了优化,在测试程序中验证了经过粒子群算法优化的RBF神经网络的函数逼近能力比未经过优化的逼近能力强-Matlab PSO RBF network optimization using particle swarm optimization on RBF neural network parameters are optimized, in the test procedures and verified thr
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
DeJong
- matlab平台下的测试函数DeJong,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 DeJong, used to test for the PSO, the performance of genetic algorithms and other useful intelligence
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
CPSO-FOR-function
- 小生境遗传粒子群混合算法及其测试函数,已经运行。-Niche Genetic Algorithm——PSO
pso
- 粒子群算法的代码,并且用优化算法给定的标准函数进行测试,参数的选取不是最好的,但具有一定参考性-Particle swarm algorithm of the code, and USES the optimization algorithm given standard function tests, the parameter selection is not the best, but has the certain reference
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.
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)
code
- pso的改进算法及其各种测试函数,用于寻找全局的最优解(PSO improved algorithm and test function)
PSO
- 此程序为标准粒子群算法优化一个10维函数的算例,可以运行(Standard particle swarm optimization optimization 10 - dimensional function)