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PSOGA
- 改进的群体智能算法，简称PSO算法，包括C和matlab两种版本
25811237PSOGA
- 粒子群算法与遗传算法用于优化的问题求解,可以解决一些-Particle Swarm Optimization and Genetic Algorithms for optimization problem solving, you can solve some
PSOGA
- 改进的群体智能算法，简称PSO算法，包括C和matlab两种版本-Improved swarm intelligence algorithm, referred to as PSO algorithm, including two versions of C and matlab
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
xiaoshengjingyichuansuanfa
- 利用改进的小生境遗传算法来编程，适合对这方面感兴趣的人员研究-The use of improved niche genetic algorithm is used to programming, suitable for persons interested in research in this area
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
- 粒子群算法混合遗传算法代码，经过本人修改，方便实用。-Particle swarm optimization hybrid genetic algorithm code, after I modify, convenient and practical.
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
- 求解多维无约束优化问题,收敛性强，还可以加入变异算子-Multidimensional problem solving unconstrained optimization, convergence and strong, you can also join the mutation operator
PSO-GA-TSP-PID
- 压缩包包括5个群智能算法的程序，即PSOGA-PID优化，PSO的多目标perota优化问题，基于TSP-PSO算法，遗传算法求解TSP问题，遗传算法求解TSP问题-Compression package includes five swarm intelligence algorithm procedures, namely PSOGA-PID optimization, PSO perota multi-objective opti
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
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
psoga
- 用遗传算法和粒子群算法实现对函数的最大值的寻找，并且比较两者算法的性能好坏，通过运行时间，迭代次数等来判断-The genetic algorithm and particle swarm algorithm are used to find the maximum value of the function, and the performance of the two algorithms is compared. The runn
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.)