搜索资源列表
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.
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”
TSP-PSO
- 混合粒子群算法摒弃了传统粒子群算法中的通过跟踪极值来更新粒子位置的方法，而是引入了遗传算法中的交叉和变异操作，通过粒子同个体极值和群体极值的交叉以及粒子自身变异的方式来搜索最优解。(Hybrid particle swarm algorithm instead of the traditional particle swarm algorithm in the method to update the position of the particle by tracking the maximu
DO-GAPSO
- 学术实验，云环境下的任务调度算法，基于遗传算法与粒子群算法相结合的调度算法(Task Scheduling Algorithm Based on DO-GAPSO Under Cloud Environment,Academic experiment,it is used to verify the effect of the experiment.)
66766911matlab遗传算法程序(new)
- 基于matlab编程的，关于粒子群的问题。(Based on matlab programming, on the issue of particle swarms.)
GA(PSO)
- A算法解决多式联运问题，有主程序文件和相关函数文件。(Using the GA algorithm to solve the multimodal transport problem.)
m文件
- 改进遗传算法优化实例，用于系统辨识优化控制。(An example of improved genetic algorithm is applied to system identification and optimal control.)
源码GAaPSO
- 遗传算法粒子群优化，代码通俗易懂，学习一下(Genetic algorithm particle swarm optimization, code is easy to understand, learn.)