搜索资源列表
TSP_SA
- 本程序为C++编写的TSP经典问题的模拟退火算法-C++ code for TSP in simulated annealing
TSP
- 一个基于模拟退火算法的程序,用以解决旅行问题,简单易懂-Simulated annealing algorithm to solve travel problems
TSP-SA
- 模拟退火算法求解TSP问题,城市数量分别为10个和40个,包括参数的调试-TSP problem simulated annealing algorithm
many-methods-to-solve-TSP
- 多种方式求解TSP问题,有遗传算法,A*算法,D算法,模拟退火,神经网络等-A variety of ways to solve TSP problem, a genetic algorithm, A* algorithm, D algorithm, simulated annealing, neural networks
TSP
- 模拟退火算法求解TSP问题的matlab程序-Simulated annealing algorithm matlab program TSP problem
matlab--TSP-SA
- 基于MATLAB 使用模拟退火算法求解旅行商问题的源码实现。解压后就可以用。-MATLAB based simulated annealing algorithm using the source code for the traveling salesman problem implementation. After decompression can be used.
CSharp-TSP-SA
- 基于C# 使用模拟退火算法求解旅行商问题的源码实现,解压后就可使用,方便 好用。-Based on C# using the simulated annealing algorithm for traveling salesman problem source implementation, after decompression can be used, easy to use.
CPP-SA-TSP
- 基于C++的模拟退火算法求解旅行商问题的源码实现过程。解压后即可使用。一起分享。-C++ based on simulated annealing algorithm for solving the traveling salesman problem source implementation process. After decompression can be used. Share.
SA-for-TSP
- 模拟退火算法求解旅行商问题,所用数据时CHN1-Simulated Annealing for Traveling Salesman problem, the use of data CHN144
TSP110707-1
- 旅行商问题是一个典型的NP完全性问题。本文基于改进的自适应遗传 算法设计并开发了一个求解旅行商问题的软件程序,并将此程序进行了48 个城市的TSP问题计算,与模拟退火算法的计算过程及计算结果进行了比 较。文中给出了遗传算法在解决TSP问题中的参数选择和编码方式、适应 度函数的设计、种群的初始化和遗传算子的详细设计。通过对此程序的改 装,即可用于其他NP完全性问题的求解。-The traveling salesman problem is a typical NP proble
TSP
- 模拟退火算法求解旅行商问题 程序使用的参数说明:初始温度的选取方法:取一个确定值:280度 状态被接受的条件:如果delta f < 0, 则At = 1,否则At = exp(-delta f / t) 降温算法:采用等比例下降的方法,比例系数为0.95 同一温度内计算结束的条件: 在每个温度下采用固定的迭代次数,Lk=100n,n为城市数; 算法结束条件: 当相邻三个温度得到的解无任何变化时算法停止。 -Simulated annealing algo
TSP-simulated-annealing-algorithm
- 模拟退火算法是领域随机搜索算法的一种改进——加入概率接受准则,是十分简单的一种智能优化算法,本源码是用于求解TSP问题的模拟退火算法源程序-The simulated annealing algorithm is random search algorithm of field an improved-join probability accept criterion, it is very simple a kind of intelligent optimization algorithm,
tsp
- 模拟退火算法求解TSP问题程序简单效率高,欢迎来完善-Simulated annealing algorithm for solving the TSP program is simple, high efficiency, and welcome to improve
TSP
- 模拟退火算法解决旅行商问题的的C++代码-Simulated annealing algorithm to solve the traveling salesman problem C++ code
TSP
- 模拟退火算法的tsp问题在matlab中的解决方案-The solution of the simulated annealing algorithm for the tsp problem in matlab
GA-about-Materials-TS-TS-TSP
- 用于工程材料计算的遗传算法,关于TSP问题的禁忌算法 模拟退火算法比较等的源程序-For engineering materials calculated genetic algorithm, tabu search algorithm simulated annealing algorithm for TSP and other source code
three-algorithm-for-TSP-problem
- TSP问题的三种算法,模拟退火算法,遗传算法,蚁群算法-three algorithms of TSP problem ,three algorithms of TSP problem,three algorithms of TSP problem
TSP
- 模拟退火算法解决10个城市的TSP问题,适合帮助模拟退火算法的初学者。-The simulated annealing algorithm to solve the 10 cities TSP problem , suitable for beginners to help the simulated annealing algorithm .
SA-TSP
- 一个模拟退火算法,计算旅行商问题:注意:一共三个文件,第一个是主程序,下面两个是子函数-A simulated annealing algorithm to calculate the traveling salesman problem: Note: A total of three files, the first one is the main program, the following two sub-functions
Simulated-Annealing-for-TSP
- 模拟退火算法解决TSP问题,方法比较好,效果不错-Simulated Annealing