搜索资源列表
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
pso1
- 关于粒子群算法的c语言程序，可以用于函数优化，极其方便-About Particle Swarm c language program that can be used for function optimization, extremely convenient
pso2
- 基于改进的粒子群算法，可以用来求解函数优化问题-Based on Improved Particle Swarm algorithm, can be used to solve the function optimization problem
pso3
- 有关粒子群算法的源程序，用matlab语言编得，可用于求解函数优化问题-Particle Swarm Optimization on the source, using matlab language was made, can be used to solve the function optimization problem
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
- 很实用的群优化智能算法，计算粒子群算法的源代码，所需优化的目标函数命名为fitness即可。-a partical swarm algorithm
PSORegistration
- 基于互信息的图像配准源码，优化算法使用粒子群算法-Based on Mutual Information Image Registration code, optimizing the use of particle swarm optimization algorithm
PSO_GA_RBF
- 粒子群算法、遗传算法优化RBF径向基神经网络。-Particle swarm optimization, genetic algorithm optimization of RBF Radial Basis Function Neural Networks.
PSO
- 利用粒子群算法，计算函数的最优化问题。 本程序有很强的适用性。在理论与实际问题的优化上有一定的推广价值-The use of particle swarm optimization, the calculation function of the optimization problem. This procedure has a strong application. Theory and practical problems in the optimization of the prom
CLSPSO
- 混沌的粒子群算法，求解无约束优化问题，可以保持个体多样性-Chaotic particle swarm algorithm for solving unconstrained optimization problems, can maintain the diversity of individual
pso-down
- 用python语言编写的粒子群优化算法，内有多种适应度函数可供选择-Python language used particle swarm optimization algorithm, there are a variety of alternative fitness function
PSORosenbrock
- 这个是粒子群算法的函数优化，matlab的-very nice
SAPSO
- 模拟退火-粒子群算法，该程序将模拟退火算法和粒子群算法相结合，对优化参数有很好的效果-Simulated annealing- particle swarm optimization, the program will be simulated annealing algorithm and particle swarm optimization by combining optimization parameters have a good effect
SimuAPSO
- 基于模拟退火的粒子群算法，解决无约束优化问题-Based on simulated annealing particle swarm algorithm to solve unconstrained optimization problems
pso_clinton
- 模拟一群鸟捕食的情景，从而达到优化目标函数的目的，这就是粒子群算法！起初在可行的空间中随机的产生一群粒子，然后让每个粒子开始在虚拟的空间中向四面八方飞翔，并且每个粒子都记下他们飞过的适应值（也就是目标优化函数）最高的点，而且整个粒子群有一个最高适应值个体，这样，粒子在飞翔的时候尽量朝向自己曾飞过的最好的点和集体的最好的点。最后达到收敛到近似最优点的目的。-a example of particle swarm optimization
LDPC-pso
- 度序列优化时LDPC码设计的关键一步。本程序利用粒子群算法优化LDPC码度序列，速度较快。压缩包包括程序，优化结果，与比较文献。-Optimizing the degree sequence of a key step in designing LDPC codes. This process utilizes particle swarm optimization of LDPC code degree sequence, faster. Compressed package includes
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
PSO_PD
- 使用粒子群算法优化控制器参数，设计PD控制器。-The use of particle swarm optimization of controller parameters, design PD controller.
PSA_RBF
- 一个粒子群算法、遗传算法优化RBF径向基神经网络源代码,可直接使用。-A particle swarm optimization, genetic algorithm optimization RBF Radial Basis Function neural network source code, can be used directly.
BREEDSO
- 源码基于杂交的粒子群算法求解无约束优化问题，主要是各粒子的位置和速度.-Source code based on hybrid particle swarm algorithm for solving unconstrained optimization problems, mainly the particle position and velocity.