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GuoTao
- 用MATLAB编写的粒子群基本算法－PSO算法来求无约束函数的极值问题，得出比较好的结果
pso
- 用粒子群优化算法（PSO）求peaks函数的极值-Particle swarm optimization (PSO) seeking the extreme peaks function
matlab2
- 实现对于一个复杂数序函数的matlab求极值粒子群算法。很有实际使用意义-Seeking extremum particle swarm algorithm matlab function for a complex number sequence. Very practical significance
pso
- 实现对于一个简单函数的matlab求极值粒子群算法。很有实际使用意义-The the extremal particle swarm algorithm for a simple function matlab seek. Very practical significance
PSO
- 粒子群函数优化算法，用粒子群算法对函数进行优化，解决求极值问题-Particle swarm optimization function, a function of the particle swarm optimization algorithm to solve the problem for extreme
BPSO-and-GA
- 使用粒子群算法和遗传算法求取简单函数的极值，代码将两个算法糅在一起写的，遗传算法又含有二进制码和格雷码编码方式。-The use of particle swarm optimization and genetic algorithm to strike a simple function of the extreme, the code will be melted together to write two algorithms, genetic algorithms and contain
PSOs-applition-at-spheres-function
- 这是一个粒子群优化算法在求函数极值方面的应用，以球函数为例，说明了PSO算法的可行性-Feasibility This is a particle swarm optimization algorithm to find function extreme aspects of the ball function to illustrate the PSO algorithm
CPSOdiao
- 混沌粒子群算法，可用于求极值，附带测试函数，能用-Chaos particle swarm optimization algorithm can be used for extreme, with a test function can be used
exm_pso_1
- 本matlab代码利用粒子群算法求一个函数的极值-Particle swarm algorithm for a function extremum
粒子群算法的寻优算法-非线性函数极值寻优
- 通过粒子群算法对非线性函数的极值进行求解(The extremum of the nonlinear function is solved by particle swarm optimization)
particleSwarm
- 用粒子群算法求函数极大值或者极小值的matlab程序(particle Swarm optimization algorithm)
杂交粒子群算法源程序
- 杂交粒子群算法求函数极值，是粒子群算法和遗传算法的一种混合算法(Hybrid Particle Swarm Optimization for extremum of function)
粒子群源代码
- 粒子群算法应用于函数极值求解的源程序，读者可以根据需要自行修改所求的函数(Application of particle swarm optimization (PSO) to the source program of function extremum solution)
粒子群求极值
- 给定一个函数并给定区间，求该区间上函数的极值。(Given a function and given the interval, find the extreme value of the function on the interval.)
optimal
- 智能粒子群优化算法实例，关于高斯函数求极值问题 高斯函数优化(An example of Intelligent Particle Swarm Optimization (Intelligent Particle Swarm Optimization) algorithm for the extreme value problem of Gauss function)
DCPSO
- 标准粒子群算法介绍，目标函数求极值仿真，同时改进型的粒子群算法，避免陷入局部收敛(Improved particle swarm algorithm to avoid falling into local convergence.)
DEPSO求极值
- 改进的差分粒子群算法，并用于求函数极值，程序中分别于DE PSO 蛙跳进行对比，结果显示，改进的差分粒子群更好(The improved Differential Particle Swarm Optimization (DPSO) algorithm is used to find the function extremum. The program is compared with DE PSO frog jump, and the results show that the improve