搜索资源列表
TSP
- 算法仿真，很好用蚁群算法算法仿真，很好用蚁群算法-Algorithm simulation, a good simulation algorithm using ant algorithm, ant colony algorithm with good
an-for-tsp
- 利用蚁群算法解决tsp问题，适合初学者。-Tsp using ant colony algorithm to solve the problem, suitable for beginners.
ACATSP
- tsp蚁群算法，经过改良的-tsp ant colony algorithm, improved ........
TSP(matlab)
- matlab蚁群算法，要使用城市坐标的版本-ant colony algorithm matlab, it is necessary to coordinate the use of the version of the City
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.
TSP
- 介绍求解TSP 问题的蚁群算法，是解决旅行售货员问题的一种比较好的方法-Introduced to solve the ant colony algorithm for TSP problem is to solve the traveling salesman problem of a better way to
ACS
- 用蚁群算法来解决，TSP（履行商人）最短路径问题。-TSP
ACO-PSO
- 蚁群算法（ACO）和粒子群算法（PSO）的混合算法解决旅行商问题（TSP）的matlab代码-Ant colony optimization (ACO) and particle swarm optimization (PSO) of the hybrid algorithm to solve traveling salesman problem (TSP) in matlab code
aritificial-ant-algorithms-for-TSP
- 应用双种群蚁群算法解决TSP问题，计算速度快，准确率高-Application of ant colony algorithm to solve TSP double population problem, computational speed, high accuracy
蚁群算法TSP问题
- 典型的matlab求运行商问题，可以看到进化曲线和线路计算过程。(The typical matlab asks the operator problem, and you can see the evolution curve and the line calculation process.)
AA—TSP
- 本算法是在MATLAB下，用蚁群算法求解tsp问题(The algorithm is based on MATLAB, ant colony algorithm to solve the TSP problem)
AntCity2
- 经典蚁群算法，加入了区域限制对于问题的算法研究有一定的研究帮助(The classical ant colony algorithm, with the addition of regional constraints, has a certain research help on the research of the algorithm.)
蚁群算法
- 蚁群算法，包括蚁群算法解决TSP问题，蚁群算法寻找最优解等问题还包括蚁群算法的c语言程序，希望能帮助大家！(Ant colony algorithm, including ant colony algorithm to solve the TSP problem, ant colony algorithm to find the optimal solution and other issues, including the C language program of ant colony al
蚁群算法（路径规划程序）
- 蚁群算法是一种群智能算法，也是启发式算法。基本原理来源于自然界蚂蚁觅食的最短路径原理。蚁群算法根据模拟蚂蚁寻找食物的最短路径行为来设计的仿生算法，因此一般而言，蚁群算法用来解决最短路径问题，并真的在旅行商问题（TSP，一个寻找最短路径的问题）上取得了比较好的成效。目前，也已渐渐应用到其他领域中去，在图着色问题、车辆调度问题、集成电路设计、通讯网络、数据聚类分析等方面都有所应用。(Ant colony algorithm is a population intelligent algorithm,
基于蚁群算法的二维路径规划算法
- 基于蚁群算法的二维网络路径规划算法，带有障碍物的TSP问题，可运行(Two dimensional network path planning algorithm based on ant colony algorithm)
蚁群算法求解TSP问题
- 将蚁群算法有效应用到TSP问题，并使用Matlab求解(Ant colony algorithm for solving TSP problem)
U4
- 用蚁群算法解决TSP旅游商问题，效果较好(Use ant colony algorithm to solve TSP travel salesman problem)
蚁群
- 实现蚁群算法的基本功能，解决了TSP的问题。(Implement the basic functions of the ant colony algorithm and solve the TSP problem.)
蚁群算法的TSP优化
- 基于基础蚁群算法的TSP寻优，包括信息素更新方法，禁忌表使用更新(TSP optimization based on basic ant colony algorithm, including pheromone updating method, tabu table updating)
蚁群算法
- 利用蚁群算法解决典型tsp问题，算法中数据可参数化，31个城市(Using ant colony algorithm to solve typical TSP problems)