搜索资源列表
BB_Ants_System
- 改进的蚁群算法matlab程序，验证无误。-ant-system
anttsp
- 用蚁群算法解决TSP问题，其中有基本蚁群，蚁密系统，还有自己提出的改进算法，自带GUI界面。-TSP with ant colony algorithm to solve the problem, including the basic ant colony, ant density systems, as well as the improved algorithm itself, its own GUI interface.
AntcolonyAlgorithm
- 这是改进的蚁群算法，比传统的蚁群算法更简易，图像分割速度也快很多！-This is the improved ant colony algorithm, more than the traditional simple ant colony algorithm, image segmentation speed is much faster!
antsyscolony
- 关于TSP旅行商问题的蚁群标准算法，以及在一些地方的改进算法-TSP Traveling Salesman Problem on the standard ant colony algorithm and improved algorithm in some places
AntColonyAlgorithmforTSP
- matlab编写的蚁群算法解决TSP问题，对路径选择部分作了改进，有详细中文注解。-ant colony algorithm written in matlab to solve TSP problem, select the part of the path has been improved, there are more Chinese comments.
inprove_beta
- 改进的蚁群算法应用于搜索信号有效带宽 信噪比SNR=-10dB 信号有效带宽250~300Hz - Improved search algorithm for the effective bandwidth of the signal noise ratio SNR =- 10dB efficient bandwidth in 250 ~ 300Hz
clustering-based-on-improved-ACO
- 给出了一种改进的蚁群算法的聚类程序，比基本蚁群聚类效果好。-very useful
aa-bp
- 使用蚁群算法及改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm to optimize the BP neural network program
yiqun123456
- 基于改进的蚁群算法利用matlab对VRP问题的求解-Based on improved ant colony algorithm using matlab to solve the VRP problem
Ant_clony_of_alogrithm
- 基本蚁群聚类算法及其改进算法[带Matlab源代码] 该算法，解决了不收敛的问题，聚类效果非常好（效果图如附件图片所示）。 改进的蚁群算法是基于遗传算法的改进，在基本遗传算法的基础之上，加入了变异因子， 产生变异，从而更快的收敛。 -The basic ant clustering algorithm and its improved algorithm with Matlab source code of the algorithm to solve the non-con
aca-nn
- 使用蚁群算法并进行改进，利用改进的蚁群算法优化BP神经网络的程序-Ant colony algorithm and improved use of improved ant colony algorithm to optimize BP neural network program
gaijinyiqunsuanfa
- 改进的蚁群算法，加入了变异因子，产生变异，从而更快的收敛。-Improved ant colony algorithm, joined the variation factor, mutate, and faster convergence.
matlab 蚁群算法ACO_feature_selection
- 蚁群算法用与特征选择，针对传统蚁群聚类算法收敛速度过慢的问题，提出一种对蚁群算法进行改进的聚类算法。而数据的高维使数据具有稀疏、不可聚集等特性，使聚类算法实验效果精度低和耗时大，将邻域特征选择与聚类算法结合，提出了一种蚁群聚类优化的邻域特征选择算法(Ant colony algorithm and feature selection)
改进蚁群
- 将蚁群算法应用于三维路径规划问题上，算法编程完整，注释详细，是初学者宝贵的学习材料。(The ant colony algorithm is applied to the three-dimensional path planning problem, the algorithm programming is complete, detailed notes, is a valuable learning material for beginners.)
improved-ant-colony-algorithm
- 改进的蚁群算法的实用性很强，解决了很多问题(Improved ant colony algorithm is very practical and has solved many problems.)
A
- 蚁群算法的改进 在MATLAB中可以直接仿真 研究这方面的可以好好间就一下((Ant colony algorithm is improved))
aco
- 采用改进的蚁群智能算法，得到车辆最短路径问题快速有效的局部最优解。(The improved ACO to obtain the shortest path problem vehicle fast and effective local optima.)
基于蚁群算法的二维路径规划算法
- 根据二维环境全局信息来改进蚁群算法以提高实时性和收敛速度(the ant colony algorithm is improved according to the global information of 2D environment to improve the real-time performance and convergence speed)
main1
- 利用改进的蚁群算法来实现对路径规划，找到一条最优路径(Ant colony algorithm path planning)
混合改进蚁群算法matlab源程序
- 混合改进蚁群算法matlab源程序。其中，MainSim文件为主函数，此程序为基于自适应信息素、决策变量高斯变异和决策变量边界自调整三种改进的混合改进蚁群算法程序。其中，自适应信息素改进代码在ACOUCP文件的143-152行；决策变量高斯变异在GaussMutation文件；决策变量边界自调整改进代码在MainSim文件的40-49行。