搜索资源列表
TSP_cold
- 模拟退火算法求解旅行商问题，停止条件为“零度”-Simulated annealing algorithm to solve the traveling salesman problem, stop the " zero"
TSP-SA-CHANGXIN
- 解决了应用模拟退火算法的旅行商问题研究 应用平台MATLAB-To solve application of simulated annealing algorithm traveling salesman problem application platform MATLAB
TSP
- 用模拟退火算法解决旅行商问题，城市坐标是数据集直接调用。-Simulated annealing algorithm to solve the traveling salesman problem, the city coordinates data sets directly call.
AnealTSP
- 用模拟退火算法解决tsp(旅行商问题)，可以和其他算法融合-Using simulated annealing algorithm to solve tsp (traveling salesman problem), and other algorithms can be fused
SA
- 模拟退火算法的c++实现小型旅行商问题，在vs2010环境编译运行成功。人工智能小作业。-C++ simulated annealing algorithm implemented in vs2010 compiler environment running successfully. AI small operations.
TSP(SA)
- 旅行商问题 用模拟退火算法求解游历中国各省会最短路-tsp china province sa
monituihuo
- TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序-The TSP (traveling salesman problem, traveling salesman problem) simulated annealing algorithm generic malab source
SA-TSP
- 基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析-The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of sub
TSPS
- TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序-TSP (traveling salesman problem, traveling salesman problems) general malab source program of simulated annealing algorithm
Simulated-annealing
- 模拟退火算法，解决城市间的旅行商路线的问题。-Simulated annealing algorithm to solve the traveling salesman problem of inter-city routes.
SA-TSP
- 使用模拟退火算法来解决TSP旅行商优化问题-Using simulated annealing algorithm to solve TSP traveling salesman optimization problem
sa
- 本程序是运用模拟退火算法解决旅行商问题，求解最短路径，C语言程序-This procedure is to use simulated annealing algorithm to solve the traveling salesman problem, solving the shortest path, C language program
SA_TSP
- 模拟退火算法做的来处理的旅行商问题，可以参考下，但希望不要直接用。-Simulated annealing algorithm to deal with the traveling salesman problem, you can refer to, but I hope not to use directly.
code
- 以经典的旅行商(Traveling Saleman Problem，TSP)问题作为模拟退火算法正确性和可行性验证的重要标准，并和已有的算法进行比较和讨论。最后，本文将在实现基本算法的同时，提出多种群并行计算的可行性，并且使用TSPLIB提供的数据和对应的最优解来检验模拟退火算法，分析模拟退火算法应用到TSP问题后得到的结果，从而得出在时间要求不高的情况下，使用多种群算法可以改善算法运行结果。-Design And Simulation Of Simulated Annealing Algori
monituihuofaTSP
- 利用模拟退火法进行旅行商问题的求解，能够快速得到最优解-Conducted using simulated annealing traveling salesman problem solving
SA_TSPproblem
- TSP问题（货郎担问题，旅行商问题）的模拟退火算法通用malab源程序-TSP problem (traveling salesman problem, traveling salesman problem) simulated annealing algorithm malab common source
a
- 模拟退火求解旅行商问题，命令行输入格式为： 程序名 输入文件名 输出文件名-Simulated Annealing Traveling Salesman Problem, the command line input format: program name Enter the file name of the output file name
TSP_main_Program
- 此算法为模拟退火算法，典型例题为旅行商选路问题，也可用于计算机网络中的路由选择问题-Simulated annealing algorithm
SA_TSP
- 模拟退火算法求解旅行商问题的Matlab源程序-Simulated annealing algorithm for traveling salesman problem Matlab source
SA_solve_TSP
- 模拟退火算法解决旅行商问题，操作步骤详见readme.txt-Simulated annealing algorithm to solve the traveling salesman problem, the steps described in Readme.txt