搜索资源列表
PSO
- 这个是matlab30例里面的关于TSP问题的，使用了粒子群和ga算法的混合！但是缺啥前面的初始化，以及后面的终止条件设定-This is matlab30 example on the inside of the TSP problem, using hybrid particle swarm algorithm and ga! But the lack of Han in front of initialization and termination condition is set bac
Hybrid-PSO-GSA-Code
- Hybrid PSO and GA algorithm codes for Global optimization problems with a sample and cost function.
GA_PSO
- hybrid GA & PSO in matlab
GA-PSO
- 遗传算法和粒子群算法以及网格搜索法优化神经网络SVM的高斯核参数和惩罚参数-Optimization of Genetic Algorithm Neural Network SVM Gaussian kernel parameters and penalty parameter
GAandPSO
- GA(PSO)为GA和PSO单独优化算法； GA_PSO为GA和PSO混合的优化算法；-GA (PSO) for the GA and PSO optimization algorithm alone GA_PSO of GA and PSO hybrid optimization algorithm
GA-rbf
- PSO和GA算法针对RBF网络优化，分别为PSO和GA的，RBF网络的程序结构给出了，只需要稍加改动即可-PSO、GA algorithm for RBF network
GA-COMBINATION-pso
- 我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。现在把修改后的程序和大家分享一下，希望能对您有用~- I download a GA and PSO algorithm, try using the combination of GA and PSO strategy optimizat
PID_OPT
- fiminunc、GA、PSO三种算法优化PID参数-fiminunc, GA, PSO three algorithms to optimize PID parameters
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-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
mutatdol-the-PSO
- 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, poor effect of the particles in PSO for crossover and mutation operation,
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
ga-pso
- initial population algorithm main loop algorithm results algorithm PSOpop=PSOfunc
Chared ICA Code
- 受帝国主义殖民竞争机制的启发，Atashpaz-Gargari和Lucas于2007年提出了一种新的智能优化算法—帝国竞争算法 (ICA)。与GA, PSO, ABC等受生物行为启发的群智能算法不同，ICA受社会行为启发，通过摸拟殖民地同化机制和帝国竞争机制而形成的一种优化方法。ICA也是一种基于群体的优化方法，其解空间由称为国家的个体组成。ICA将国家分为几个子群，称为帝国。在每个帝国内，ICA通过同化机制使非最优的国家(殖民地)向最优国家(帝国主义国家)靠近，该过程类似于PSO。帝国竞争机制
psopt
- 一种粒子群算法，可以优化具有线性约束、非线性约束、等式约束、有界约束的问题，使用方法与MATLAB自带的GA算法类似（搬运）(A particle swarm optimization algorithm can optimize the problems with linear constraints, nonlinear constraints, equality constraints and bounded constraints. The method is similar to th
GA
- This code solves robot path planning using pso.
RAGA-PPC
- matlab 工具箱 上传一个粒子群工具包，而且正在持续更新中，与遗传算法工具有相同的语法，熟悉遗传算法（GA）和直接搜索（DS）工具箱的比较容易理解，我不熟悉，所以看起来有困难（最近在下视频学习），具体请见psopt discr iption。(toolbox of matlab As training progresses using a decreasing linear inertia function, the influence of past velocity becom