搜索资源列表
ACO---Code-
- 蚁群算法和遗传算法的源码，性能比较，有搜索过程的界面显示，MFC框架-Ant colony optimization and Genetic Algorithm for TSP，developed in MFC
City
- 一个用C++写的基本的蚁群ACO算法，用于解决旅行商TSP问题-ACO TSP
sas
- 一段用C++写的排序蚁群算法，用于求解旅行商TSP问题-ACO TSP
ant-aco
- 改进的蚁群算法，并不是单纯的解决TSP问题，可以实现源节点到目的节点的协作通信。-Improved ant colony algorithm to solve the TSP is not a simple problem, you can achieve collaborative communication source node to the destination node.
ACO---pso-MTSP-
- 基于蚁群—粒子群的TSP求解，可以解决蚁群算法陷入局部最优解的问题，更好求出TSP问题-Based on ACO- pso MTSP solving the problem can be solved ant colony algorithm into local optimal solution, obtaining better TSP problem
ACO-to-solve-TSP-problems
- 蚁群算法解决TSP问题的MATLAB实现-ACO to solve TSP problems
TSP-solved-by-ACO
- 求TSP最短路径问题，采用蚁群算法求解，给予C++编程的资料和程序-TSP solved by ACO
ACO2
- ACO蚁群算法，便于大家互相学习和交流，和写论文及研究TSP用,希望大家多下载，多学习，-ACO ,tsp ,matlab
ant-colony-algorithm(ACO)
- 蚁群算法实现TSP问题，代码由MATLAB编写，可直接运行，直接修改初始城市数据即可-Ant colony algorithm TSP problem, the code is written in MATLAB can be directly run, the data can directly modify the initial cities
ACO-TSP
- Ant Colony for Traveling salesman problem
ACO
- TSP旅行商问题，解决城市旅行距离最短的问题，基于蚁群算法求解。-TSP traveling salesman problem, solve the problem of urban travel the shortest distance, based on ant colony algorithm.
ACO
- aco code in matlab for tsp
ACO-tsp
- 利用蚁群算法解决旅行商问题，文件包含数据集为各城市的坐标-Ant colony algorithm to solve the traveling salesman problem, the file containing the data set for the coordinates of each city
ACO-to-solve-TSP-problem
- 算法使用蚁群算法求解TSP问题，使得最终所需时间短，效率高。-Algorithm using ant colony algorithm for TSP problem, so that the final time is short, high efficiency.
aco
- 描述蚁群算法的功能及应用，及其在TSP中的实现-Function and Application of ant colony algorithm is described, and its implementation in the TSP
ACO
- TSP问题的人工蚁群算法中，假设m只蚂蚁在图的相邻节点间移动，从而协作异步地得到问题的解。每只蚂蚁的一步转移概率由图中的每条边上的两类参数决定：1、信息素质，也称信息素痕迹。2、可见度，即先验值。-Artificial ant colony algorithm TSP problem, assume that m ants move between adjacent nodes in the graph, which asynchronously collaborate get problem
05-ACO-for-TSP
- this code is ACO for TCP. work with this GA very simple.
aco
- 蚁群算法是现代优化算法，这个是直接可以编译通过的蚁群算法求解51城市的TSP问题的MATLAB源代码 -Ant colony algorithm is a modern optimization algorithm, which is directly compiled by the ant colony algorithm to solve the 51 cities of the TSP problem MATLAB source code
TSP问题代码
- 本文是以旅行商问题为研究点，利用蚂蚁算法优化求解最短路径，平台工具是具有绘图功能的matlab软件。(This paper takes traveling salesman problem as the research point, and uses ant algorithm to optimize the shortest path. The platform tool is matlab software with drawing function.)
Solve TSP using Ant Colony Optimization
- Solve Travelling Salesman Problem Using Ant Colony Optimization