搜索资源列表
Hopfieldfordsp
- 用Hopfield神经网络方法实现TSP旅行商问题-Using Hopfield neural network implementation Traveling Salesman Problem TSP
tsp
- tsp源程序 解决实际的旅行商问题 简单但是十分有用-tsp source code of the traveling salesman problem to solve real easy but very useful
TSP
- 人工智能中，用模拟退火方法解决旅行商问题,采用C++实现-Artificial intelligence, the use of simulated annealing to solve traveling salesman problem, using C++ implementation
ACATSP
- tsp蚁群算法，经过改良的-tsp ant colony algorithm, improved ........
parallel-aco-tsp
- Ant Colody Please read your package and describe it at least
maugis.tar
- Simulated annealing (SA) for the Symmetric Euclidean TSP
DP_TSP
- Dynamic Programming Code for the TSP
pso_tsp_ansi_c
- Particle Swarm Optimization (PSO) for the TSP
750
- A branch-and-bound algorithm for asymmetric TSP
ACO-TSP
- 利用蚁群算法解决旅行商问题，其中运用智能蚂蚁算法-Using Ant Colony Optimization Algorithm to solve Traveling Salesman Problem
d_function
- 分支限界tsp算法中求下界函数的值。有中文注释。-Tsp branch and bound algorithm for the lower bound of the value function. Chinese Notes.
TSPSAwithmatlab
- TSP 问题模拟退火算法的matlab示例-TSP simulated annealing algorithm matlab example
tsp--yichuangsuanfa
- 程序对48个城市的TSP问题（城市坐标文件对应于48.txt）进行计算，求解路径和最优路径图如下。 48个城市结果，大的红*表示路径开始城市，途经城市依次用蓝色方块和红色*标示。 -Procedures of the 48 cities TSP problem (document coordinates corresponding to the city 48.txt) to calculate the optimal solution of the path and road map
tsp
- a matlab code for solving TSP using simulated annealing (SA)
sa
- 运用模拟退火算法解决旅行商问题，简单易懂，代码清晰，行数比较少-Simulated Annealing to solve TSP
TSP_GA
- 《智能优化算法》课的作业，用遗传算法解TSP问题。其间遇到了收敛速度慢的问题，也是在这个网找到了解决方案。大家下载的应该都是那个VC6的Windows程序。我这个是从零开始写的，大家看起来应该容易懂些。C++的Console程序，VC2005下编译。全部用STL，所以旧的编译器可能会有点问题。压缩包内有谢胜利的论文：《TSP遗传算法的改进》。正是用他的贪婪交配才使得10代左右解就收敛到很好。再次赞一下！-" Intelligent Optimization Algorithms"
ACOTSP.V1.0
- ACO解决TSP问题(蚁群优化)源码-Solve the TSP problem ACO (Ant Colony Optimization) source!!!
matlab
- 利用蚁群算法解决TSP问题的matlab源代码-Using ant colony algorithm to solve TSP problem matlab source code
TspGA
- 这个程序实现了用遗传算法来解决TSP问题，达到了良好的优化效果-This procedure achieved by using genetic algorithms to solve the TSP problem, achieve a good optimization results