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pso
- 粒子群算法，pso，是一套非常重要的算法，类似于遗传算法，这套算法是出现在一道例题中-it is pso
PSO
- 粒子群优化算法与遗传算法结合，实现PID控制-PSO and genetic algorithm combined to achieve PID control
GA-PSO
- 粒子群算法与遗传算法的联合的GA-PSO算法运用，带有测试函数-Joint GA-PSO algorithm using particle swarm optimization and genetic algorithm with test function
pso
- matlab粒子群算法和遗传算法是解决约束优化问题，无约束优化问题和多目标优化问题的优化算法-PSO and GA are good optimizational algorithms
pso-GA
- 粒子群算法MATLAB代码、遗传算法优化RBF径向基神经网络MATLAB程序-Particle swarm algorithm MATLAB code, genetic algorithm optimization RBF RBF neural network MATLAB program
PSO-inspiral
- 利用遗传算法来进行一个inspiral 科学工作流的开发！ -a GA based algorithm for inspiral workflow scheduling!!
GA(PSO)
- 经典的遗传算法的实现，因为是框架因此可以直接套用，交叉概率、变异概率可以设成动态的-The realization of the classical genetic algorithm, because it is the framework can be directly applied, the probability of crossover probability, mutation probability can be set into a dynamic
pso
- 粒子群算法，通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优-Swarm optimization, through fitness to uate the quality of the solution, but it' s simpler than genetic algorithm rule, it does not have the genetic
pso
- PSO的优势在于简单容易实现并且没有许多参数需要调整。目前已广泛应用于函数优化，神经网络训练，模糊系统控制以及其他遗传算法的应用领域-the advantages of PSO is simple and easy to achieve without many parameters need to be adjusted. Now it has been widely used function optimization
ga-and-pso
- 遗传算法和粒子群算法的工具箱，里面包含一些基本的知识，适用于初学者-Genetic algorithm and particle swarm optimization toolbox, which contains some basic knowledge for beginners
breed-PSO
- 杂交粒子群算法是借鉴遗传算法中杂交的概念，在每次迭代中，根据杂交率选取指定数量的粒子放入杂交池内，池内的粒子随机地两两杂交。-The hybrid particle swarm algorithm is based on the concept of hybridization in genetic algorithm. In each iteration, the specified number of particles are put into the hybridization pool
ANT-GA-PSO
- 将蚁群优化算法与粒子群优化算法进行组合，并利用遗传算法的交叉操作与变异操作对粒子多样性进行改进，提高全局优化效率，并配有实例演示。-The ant colony optimization algorithm and the particle swarm optimization algorithm are combined, and the genetic algorithm is used to improve the diversity of the particles.
pso
- 粒子群算法是目前人工智能的基础算法，本程序是初学者更好的学习遗传算法的基础-Particle swarm algorithm is the basic algorithm of artificial intelligence. This procedure is the basis of the better learning genetic algorithm for beginners.
jiyujiaocha-PSO
- 是对基本粒子群算法PSO的一种改进，加入遗传算法GA中的简单的交叉环节，子代再进行迭代。-this is an improvement to the basic particle swarm algorithm PSO, adding a simple intersection in the genetic algorithm GA, and the iterations are iterated again.
GAaPSO
- 遗传-粒子群算法 PSO-GA算法 解决多目标优化算法问题，针对最优解求解可得到更好的解，接近最优的目标值。(Genetic algorithm (PSO) PSO-GA algorithm is used to solve the multi-objective optimization problem, and the better solution is obtained for the optimal solution, and the near optimal target valu
38430124GA_BP-pso_bp
- 这是一种遗传算法和BP网络结合的算法，粒子群和BP网络，这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
psopt20100414
- pso粒子群MATLAB工具箱直接 安装，类似于遗传算法工具箱。(PSO Particle Swarm MATLAB toolbox installed directly, similar to the genetic algorithm toolbox.)
精通MATLAB智能算法(2015代码)
- 这是一个智能算法程序吧，里面有模拟退火算法，遗传算法，粒子群算法等等，希望这些算法对初学者来说有用处。(This program is an intelligent algorithm, simulated annealing algorithm, genetic algorithm, particle swarm optimization (pso) algorithm and so on, hope that the algorithm is useful for beginners.)
myPSO
- 粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutati
pso
- 用于优化参数，粒子群算法，也称粒子群优化算法或鸟群觅食算法（Particle Swarm Optimization），缩写为 PSO， 是近年来由J. Kennedy和R. C. Eberhart等[1] 开发的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”