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A-combination-of-genetic-algorithm-and-particle-s
- A combination of genetic algorithm and particle swarm optimization for optimal DG location and sizing in distribution systems Distributed generation (DG) sources are becoming more prominent in distribution systems due to the incremental dema
PID_OPT
- fiminunc、GA、PSO三种算法优化PID参数-fiminunc, GA, PSO three algorithms to optimize PID parameters
daimayasuo
- 包含：基于蚁群算法求解对称非对称旅行商问题 粒子群优化算法演示(PSO) 基于遗传算法(GA)的多变量旅行商问题(TSP) 遗传算法优化BP 神经网络在数据预测方面的应用 金融数量分析相关代码-Comprising: Solving Symmetric Asymmetric Traveling Salesman Problem Based on Ant Colony Algorithm Particle Swarm Optimization Demo (PSO) Mult
GA_PSO_Optimization
- ga和pso的算法，梁结构的拓扑优化，源程序引自文献，加入对应参数-ga and pso algorithm, topology optimization of beam
Evolutionary-ANFIS-Training
- 用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS struct
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
SVM_GUI_3.1[mcode]
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
SVM_Code_GUI
- faruto编写的基于libsvm3.1的SVM_GUI，可用于SVM分类及相关回归分析，已经集成了GA及PSO参数寻优算法及PCA算法，提供的是GUI版本及与之对应的源码版本-SVM_GUI and the program of SVM_Code,base on the version of the Libsvm 3.1，using the GA and PSO algorithm to improve
02-0-PSO_Modified
- this code is PSO algorithm. work with this GA very simple.particle swarm 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
To-predict
- matlab预测程序集合，适用于数学建模大赛，直接数据导入就可以用。包括灰色模型预测程序2个，gm10，greymodel，高斯混合模型mixture_of_gaussians，以及BP神经网络优化模型，遗传算法优化，Genetic，粒子群算法优化，PSO-Matlab to predict collection, suitable for mathematical modeling contest, data import can use directly. Including gray mo
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.
GAPSO-share
- 粒子群优化和遗传算法混合编程, -GA and PSO mixed program
1
- A Performance Comparison of PSO and GA Applied to TSP
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.)
IWO
- genetic and iwo algorithm in matlab with binary method
MATLAB智能算法30个案例分析——源代码
- 算法优化，包括粒子群算法，遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
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
University_Exam_Result_Analysis sem 6 ECE
- GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the