搜索资源列表
GA111
- GA和PSO算法matlab程序，方便大家使用和学习-GAPSO algorithm matlab program, easy to learn, easy to modify and adapt to use
lakeast-v1.0
- GA和PSO融合的源码，多个示例，设计模式重构-Integration of GA and PSO source, multiple examples, design patterns reconstruction
JAVA_BP_GA_PSO
- JAVA开发的BP算法,GA算法,以及PSO算法源程序-JAVA development of BP algorithm, GA algorithm and PSO algorithm source code
GAPSO-share
- 在做优化的时候，起初选择了GA算法，但是GA的不稳定性（或者陷入局部最优）实在让人抓狂，前后两次的结果相差竟然有时候能达到30 以上，当时由于时间的原因，我只好选择了优化1000次，然后以其中的最小值最为最佳方案。虽然问题也算解决了，但是从学术上将，这种奔方法是让人很尴尬的。所以，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
GA-PSO
- 遗传算法结合粒子群算法的例子，采用matlab编程-Particle swarm optimization with genetic algorithms example, using matlab programming
tspPSO
- tsp问题的pso ；粒子群算法 程序简单 简单粒子群 二分查找 速度更快 但是没有加入其余优化 希望得到优化后的 和GA优化后的算法-pso for TSP problems
v27-83
- Recently, genetic algorithms (GA) and particle swarm optimization (PSO) technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a giv
csa-ga-pso
- 人工免疫算法、粒子群算法、遗传算法、寻优的matlab程序 -Artificial immune algorithm, particle swarm optimization, genetic algorithms, optimization matlab program
Hybrid-GA-PSO-Code
- Hybrid GA_PSO code in matlab
ga-pso-aca_esn
- 用遗传粒子群蚁群混合算法来优化回升状态网络训练后的最终值。-Mixed genetic particle swarm ant colony algorithm to optimize the final value in the rebound after the state network training.
Fw--Conferences
- hyprid pso and ga fo optimization of mppt
xox_Wave_NN
- The Wavelet Neural Network This is simple example for using of modified Morlet neural network. Levenberg-Marquardt with numerical Jacobian calculation implemented. Easy to use with other optimization algorithem e.g GA,PSO, etc. The funct
PSO_GA_SVM
- 利用遗传算法GA和粒子群算法PSO对SVM进行优化-GA genetic algorithm and particle swarm optimization PSO to optimize the SVM
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
The-Multi-user-Detection-ALGORITHM
- 联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法-the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was p
fa_ndim
- This firefly algorithm which is implemented in matlab. The algorithm is well-known, and apply in many optimal areas and outperform GA and PSO-This is firefly algorithm which is implemented in matlab. The algorithm is well-known, and apply in many opt
MATLAB_ANN_30
- 30个例程，非常好用，带有bp，GA，PSO等多种常见算法和模型，别看小，保证是全的-30 routines, very easy to use, with bp, GA, PSO and other common algorithms and models, do not look small, guaranteed to be full of
GODLIKE
- GODLIKE is an abbreviation of Global Optimum Determination by Linking and Interchanging Kindred Evaluators. This algorithm is an attempt to gen- eralize and improve the robustness of the four meta-heuristic optimization al- gorithms GA, PSO, DE
tsp
- SA、GA、PSO解决TSP问题的C++源代码-SA, GA, PSO to solve the TSP problem. C++
fpa_demo
- Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the