搜索资源列表
simulated-annealing(SA)
- 模拟退火方法解决TSP问题,代码用MATLAB实现,可直接运行,可自行修改初始城市数据-Simulated annealing algorithm to solve TSP problem, the code using MATLAB to achieve, can be run directly, you can modify the initial data on their own city
aiwa
- 求解tsp问题的MATLAB程序,模拟退火算法源程序-MATLAB problem solving procedures tsp
GA100
- 利用模拟退火发求解TSP问题。Location.dat存储了每个城市的坐标-Simulating Anealing Method for TSP
ACO3
- 融合蚁群算法和模拟退火算法的C++程序,解决TSP-Fusion ant colony algorithm and simulated annealing algorithm C++ program to solve TSP
MNTH_TSP
- 1. 本程序使用模拟退火算法解决TSP问题 a) 初始温度确定方法 选取任意状态为初始状态。以1为起始温度,不断升温,直到模拟所得接受概率大于90 ; b) 温度下降 温度下降系数为 0.95; c) 每一温度迭代 选取固定迭代次数 100 * n; d) 终止条件 温度下降次数到达 800,或某一温度下解不发生改变; 2. 本机运行及编译环境 win7 旗舰版 SP1 MINGW g++ 4.8.1 -Simu
mgasa
- 本资源是Mgasa算法解决TSP问题的Matlab代码,资源中包括mgasa_main(Mgasa算法解决TSP问题代码),mgasa_fitness(适应度求取函数代码),mgasa_annealing(Mgasa算法中模拟退火代码),mgasa_select(遗传算法中选择函数代码),mgasa_crossover(遗传算法中染色体交叉互换函数代码),mgasa_mutation(遗传算法中基因突变函数代码),mgasa_change(Mgasa算法中选择过程代码)。同时代码中有Locati
MatLab-Script
- 基于启发式(Heuristic)的人工智能算法解决旅行商问题(Traveling Salesman Problem)。关键词:模拟退火,遗传算法。工作环境:matlab-An artificial intelligence algorithm based on heuristic to solve Traveling Salesman Problem(TSP). Key words: Simulated Annealing, Genetic Algorithm. Working environm
Simulated-Annealing-matlab
- 利用模拟退火算法寻找我国31个省会城市(不含港澳台)的TSP最短路径.输出最短路径顺序及其长度,以及模拟退火算法迭代过程中的最短路径长度进化曲线-Simulated annealing algorithm to find China' s 31 provincial capital cities (excluding Hong Kong, Macao and Taiwan) of TSP shortest path shortest path output sequence and len
tuihuo
- 退火算法是用来求解最优化问题的算法。比如著名的TSP问题,函数最大值最小值问题-Annealing algorithm is used to solve optimization algorithms. Such as the famous TSP, Max Min function problems, etc.
SA_TSP
- tsp问题的模拟退火算法求解,在matlab环境下运行- 检测到:中文 » 英语 Simulated annealing algorithm to solve TSP problems, in the matlab environment
simulated-annealing
- 19基于模拟退火算法的TSP算法 有源代码及图片-simulated annealing
SAA
- 模拟退火智能算法解决经典TSP问题,方便修改,注释方便理解-SAA only classical algorithm to solve TSP problem, easy to modify, easy to understand comments
monituihuo
- 模拟退火算法的源代码,可有效解决旅行商问题(TSP)。-Simulated annealing algorithm source code, which can effectively solve the traveling salesman problem (TSP).
SA_TSP
- 用模拟退火算法求解TSP问题,matlab源码,绝对可运行。-Solving traveling salesman problem with simulated annealing algorithm,matlab code.
SAA
- 模拟退火算法解决简单的旅行商(TSP)问题-Simulated annealing algorithm to solve the traveling salesman problem (TSP)
Simulated_Annealing
- VC++ 6.0环境下利用模拟退火算法求解旅行商(TSP)问题-simulation annealing for TSP
simulate-annealing-MFC
- 利用模拟退火算法求解旅行商(TSP)问题,MFC对话框-MFC dialgo simulation annealing for TSP
AMC
- 本资源包括基于模拟退火算法解决TSP问题的相关代码以及TSP的城市数据-This resource includes based on simulated annealing algorithm to solve TSP problem related code and city data of TSP
monituihuo
- 用matlab转成的模拟退火算法的c++代码,文件较多。模拟退火解决的是30个城市的tsp问题-Using matlab into the simulated annealing algorithm c++ code, more documents. Simulated annealing is a 30-city tsp problem
vall_atteijutes_breakpoint
- 本资源包括基于模拟退火算法解决TSP问题的相关代码以及TSP的城市数据-This resource includes based on simulated annealing algorithm to solve TSP problem related code and city data of TSP