搜索资源列表
tsp
- 利用模拟退火算法解决TSP问题（C++实现）-TSP PROBLEM
PSO-TSP
- 在分析粒子群优化的搜索原理的基础上，通过引入交换子和交换序的概念,构造 一种特殊的粒子群优化算法,并用于求解旅行商问题。 - This algorithm introduces the search strategies of particle swarm optimiza- tion (PSO),via presenting the concepts of swap operator and swap sequence a
TSP-InvertOver
- 采用Inver-over算法求解TSP问题(包括测试算例)，算法结果较好，收敛较快。-This algorithm introuduce the Inver-over operotor that is solved TSP problems.(Including testing benchmarks).
TSP-GA
- 使用遗传算法解决TSP问题，简单，通用，鲁棒性好-The use of genetic algorithm to solve the TSP problem, simple, universal, robust and good
tsp
- 用VB写的利用蚁群优化算法解决的20个点的TSP问题，给出了路径以及经过每个点的顺序。-Using VB to write the use of ant colony optimization algorithm to solve the 20 points of TSP problem, given the path and through each point order.
TSP
- this a branch and bound code for TSP-this is a branch and bound code for TSP
TSP
- 遗传算法求解经典的旅行商(TSP)问题。图形化界面，可以选择大/中/小地图文件，并演示进化的过程。中/小地图在默认代数下一般都可以找到最优解。-Genetic Algorithm for the classic TSP problem. Graphical interface, you can choose large/medium/small map files, and demonstrates evolutionary proce
tsp
- 高级人工智能算法中的TSP问题求解，应用模拟退火算法实现-tsp problem solved in vc++
TSP
- 本系统是用C#语言进行旅行商问题（TSP)的实验仿真，来实现从一个城市到最后一个城市的最短路径的模拟。-This system is to use C# language Traveling Salesman Problem (TSP) of the experimental simulation, to move from one city to the last one the city' s shortest path si
TSP
- 用matlab实现了简单遗传算法解决TSP问题，有界面。-Using matlab to achieve a simple genetic algorithm to solve the TSP problem, there are interfaces.
TSP
- 应用模拟退火算法求解TSP的主要程序，主要应用在ITS中。-Application of simulated annealing algorithm for TSP of the main proceeding.
GA-TSP
- 在matlab环境下，用遗传算法实现解决TSP问题。应该可以运行。。既不清楚了-deal with TSP problem with GA
GA-TSP
- GA-TSP 运用遗传算法求解TSP问题，需要分开函数保存在运行。-GA-TSP the use of genetic algorithm to solve TSP problem and needs to separate the function is saved in the running.
TSP
- 禁忌算法解决TSP问题，程序简单效率高，欢迎来完善-Tabu algorithm to solve TSP problem, the program simple and efficient, welcome to improve
TSP
- 模拟退火处理tsp问题，matlab 代码-tsp problem matlab code
TSP
- 使用蚁群算法编写的C++环境下的旅行商（TSP）经典问题的解决方法-Ant colony algorithm using C++ environment, prepared under the traveling salesman (TSP) classical solution to the problem
TSP
- 遗传算法，可以实现遗传算法TSP优化，图形显示优化过程。可以设定遗传种群个数、变异率等参数。-Genetic algorithm, genetic algorithm can achieve TSP optimization, graphics optimization process. Can set the number of genetic populations, mutation rates and other paramet
tsp-2.0
- 一个用Java编的TSP小工具，需要调试-TSP a small series with Java tools, need to debug
TSP
- TSP 模拟退火 求最短路径 哈米尔顿回路-tsp
TSP-gene
- 是用遗传算法解决TSP问题，测例包括10个城市和30个城市。使用PMX交叉算子。-Is to use genetic algorithms to solve TSP problems, test cases, including 10 cities and 30 cities. Using the PMX crossover.