搜索资源列表
-
0下载：
此源代码,是一个用C++开发的，关于混沌蚁群优优化算法，该算法是一个非常实用的算法，效果非常好
-This source code is developed one use C++ and excellent on chaotic ant colony optimization algorithm, the algorithm is a very practical algorithm, the effect is very good
-
-
0下载：
蚁群算法的源代码，在路径寻优及多目标非线性优化问题上都有很强的优势。-Ant colony algorithm source code, in the path of multi-objective optimization and nonlinear optimization problem has a strong advantage.
-
-
0下载：
matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 -matlab genetic algorithm GA, particle swarm optimization PSO, some time ago on the ant colony algorithm intelligent
-
-
0下载：
Ant colony optimization matlab code for solving Knapsack problem
-
-
0下载：
几种最新智能优化算法的改进与应用的源代码，包括人工蚁群、遗传算法优化神经网络-Several of the latest intelligent optimization algorithm improvement and application source code, including artificial ant colony, genetic algorithm optimization of neural networks, etc.
-
-
0下载：
无约束连续函数优化的人工蚁群算法通用MATLAB源码-Uniformly continuous function optimization artificial ant colony algorithm universal MATLAB source code
-
-
0下载：
A good example of two dimension H
Boundary element potential measur
Classical algorithm matlab Bounda
ant colony optimization (ACO)
The pretreatment of the mechanica
Fuzzy C-means algorithm for clust
matlab m file,draw all surface
Imper
-
-
0下载：
matlab code for ant colony
-
-
0下载：
matlab code for ant colony optimization
-
-
0下载：
matlab code Ant colony optimization for solve Travelling salesman problem
-
-
1下载：
一种经典蚁群算法的matlab代码，可进行函数的优化，内含函数的优化。(A classical ant colony algorithm's matlab code, can carry out the function optimization, contains the function optimization.)
-
-
0下载：
遗传算法 粒子群 蚁群等7种算法，可解决求极值问题以及旅行商问题(Genetic algorithm, particle swarm optimization and ant colony algorithm can solve extreme value problem and traveling salesman problem. 7 algorithms are used to solve extreme value problem and traveling salesman probl
-
-
3下载：
神经网络入门13课源码
第一课 MATLAB入门基础
第二课 MATLAB进阶与提高
第三课 BP神经网络
第四课 RBF、GRNN和PNN神经网络
第五课 竞争神经网络与SOM神经网络
第六课 支持向量机( Support Vector Machine, SVM )
第七课 极限学习机( Extreme Learning Machine, ELM )
第八课 决策树与随机森林
第九课 遗传算法( Genetic Algorithm, GA )
第十课 粒子群优化( Part
-
-
1下载：
基于蚁群算法的 TSP 求解，分别采用蚁群算法和蚁群算法-粒子群混合算法进行优化求解，使用不同的交叉和变异适应度函数更新粒子，从而实现 TSP问题的优化求解，更加逼近实际问题。(Based on the TSP solution of ant colony algorithm, ant colony algorithm and hybrid algorithm of ant colony algorithm particle swarm optimization are used to solv
-
