搜索资源列表
ant_clustring
- 蚁群算法用于已知数目的聚类问题,解决任务分配等问题-Ant colony algorithm for clustering已知数purpose of solving the task allocation
LF
- 基于MATLAB蚁群算法LF解决聚类问题源程序代码，包括文档与论文-MATLAB-based ant colony algorithm to solve clustering problem LF source code, including documents and papers
ant
- 蚁群算法结合2-opt技术解决旅行商问题（TSP）-Ant colony algorithm with 2-opt technology to solve the traveling salesman problem (TSP)
antcolonyalgorithm
- 蚁群算法LF解决聚类问题,程序文章比较全面，已测试-LF ant colony algorithm to solve clustering problems, the article is more comprehensive program has been tested! ! !
ACO
- 用改进的蚁群算法来解决旅行商问题，以寻求最优解！-Improved ant colony algorithm used to solve the traveling salesman problem, to find the optimal solution!
ant
- 蚁群的matlab程序，可以进行修改，从而解决多种问题(Ant colony matlab program, you can modify, and thus solve a variety of problems)
蚂蚁算法
- 蚁群算法又叫蚂蚁算法，借助蚂蚁的一些生活方式进行问题的解决，最著名的就是TSP问题(Ant colony algorithm, also called ant colony algorithm, solves the problem by means of some way of life of ants. The most famous problem is the TSP problem)
22
- 解决多个点之间的简易连接问题,里面都有注释，方便初学者分步骤操作(for solving the shortest way in multiple points)
PSO_TSP（混合粒子群：较优）
- 解决环球旅行问题的一种精确度比较高的算法，相较于蚁群算法和遗传算法都有较大的改进；(A high precision algorithm for solving global travel problems has a greater improvement than the ant colony algorithm and the genetic algorith)
GA_TSP yiqun
- 蚁群算法解决vrp问题，主函数和各个子程序，全部，可运行。(The ant colony algorithm solves the VRP Problem, the main function and the various subroutines, all of which can be run)
ASO
- 遗传算法解决TSP； 含有图形化界面；(The TSP problem solved by genetic algorithm; Including a graphical interface.)
双蚁群路径规划
- 这是双蚁群机器人路径规划算法，很好的解决了蚁群算法收敛慢的缺点，C++语言(This is a dual ant colony robot path planning algorithm that solves the shortcomings of the slow convergence of the ant colony algorithm and uses the C++ language.)
matlab解决tsp
- matlab中解决tsp问题经典蚁群算法(Classical ant colony algorithm for solving TSP problem in MATLAB)
各种算法解决TSP问题
- 禁忌算法、遗传算法、模拟退火算法、蚁群算法等等解决TSP问题。
蚁群算法
- 蚁群算法，用于解决TSP问题，可以避免过早收敛且时间复杂度低，是一种信而有效的启发式算法
antcolony蚁群算法客户时间窗车辆路径问题
- 蚁群算法求解带时间窗的车辆路径问题，所用软件：Matlab。结果有：路径图和配送路线以及迭代次数图，能解决带时间窗的车辆路径问题VRPTW。MAC系统可用。
代码
- python，利用改进蚁群算法解决蚁群算法时间窗路径规划的问题(Time window path planning of ant colony algorithm)
TSP
- 利用蚁群算法、遗传算法还有改进的蚁群算法来解决TSP问题，根据需要可以选择TSP的规模，分别有31个城市的和48个城市的。(Using ants colony algorithm, genetic algorithm and improved ant colony algorithm to solve the TSP problem, we can choose the scale of TSP according to the needs, there are 31 cities and 48
代码
- 用蚁群算法原理解决多任务多车间车间调度问题(Solving the multi task and multi workshop scheduling problem with the principle of ant colony algorithm)
蚁群算法实现
- 这是蚁群算法实现的一个例程，用于解决0——1背包问题，对初始者有帮助，能够运行。