搜索资源列表
PSOGA
- 改进的群体智能算法，简称PSO算法，包括C和matlab两种版本
PSOGA
- 带交叉因子的改进PSO算功能：求解多维无约束优化问题收敛性强，还可以加入变异算子-With cross-factor improvement of PSO operator functions: Solving multi-dimensional unconstrained optimization problem of strong convergence can also add mutation operator
PSOGA
- PSO和GA的结合算法，对PSO中效果较差的粒子进行交叉和变异操作。-The combination of PSO and GA algorithm, PSO particles in the less effective cross and mutation.
PSOGA
- 带交叉因子的粒子群遗传算法，寻找最优位置-Particle Swarm with cross-factor genetic algorithm to find the optimal position
psoga
- 采用PSO和GA算法优化RBP神经网络的参数-PSO and GA algorithm optimization using neural network parameters RBP
PSOGA
- PSO_GA allgorithem matlab m-file
psoga
- 基于遗传算法的改进PSO算法，重点在于详细描述了遗传算法的交叉及变异操作，为新手提供最基本的编译思路。-Improved genetic algorithm based on PSO algorithm, the focus is a detailed descr iption of the genetic algorithm crossover and mutation operation for novices to provide the basic idea to compile.
GAPSO-PSOGA
- how to mix Genetic Algorithm And Particles Swarm Optimization
PSOGA
- 这是PSO算法和GA算法联合使用的matlab程序，用于数据定量分析-This is the algorithm of PSO and GA used in conjunction matlab program for quantitative analysis of data
PSOGS
- particle swarm optimization genetic algorithm combined
PSOGA
- 粒子群优化算法，弥补pso全局搜能力差，GA局部搜索能力差的不足(Particle Swarm Optimization (PSO) can make up for the deficiencies of poor global search ability of PSO and poor local search ability of GA.)