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模拟退火
- 本程序用模拟退火算法实现了旅行商问题（tsp问题）-the procedures used simulated annealing algorithm to achieve the traveling salesman problem (tsp)
模拟退火算法实现旅行商算法
- 采用的是康力山等人确定的实验参数。 对于n个城市的旅行商问题，其参数如下： 初始温度：t0=280, 每一个温度下采用固定的迭代次数L=100n, 温度的衰减系数alpha=0.92 算法停止的准则是当相邻两个温度得到的解变化很小时算法停止。-used the Stanozolol Hill were determined by the experimental parameters. N cities for the traveling salesman problem, the para
模拟退火法解决TSP问题
- 使用模拟退火算法计算旅行商问题，内含10城市和20城市的样例代码。
TSPSA.模拟退火算法SA求解TSP旅行商问题
- 模拟退火算法SA求解TSP旅行商问题。可以自己设定初始温度和冷却温度,SA simulated annealing algorithm for solving traveling salesman problem TSP. Can be set for the initial temperature and cooling temperature
TSP.rar
- 模拟退火算法解决旅行商问题，从文件读入城市信息,Simulated annealing algorithm to solve traveling salesman problem, reading from the file information into the city
xujinpeng-matlab.rar
- 遗传算法编程求解旅行商问题；图论中最短路问题的Matlab程序实现；背包问题模型的Matlab程序实现。,Genetic Algorithm for Solving Traveling Salesman Problem programming graph theory, shortest path problem in the Matlab program implementation knapsack problem Matlab model implementation process.
SA_TSP_Rev1
- 用matlab实现的利用模拟退火算法(SA)解决旅行商问题(TSP).-Matlab achieved with the use of simulated annealing algorithm (SA) to solve traveling salesman problem (TSP).
TspSA
- 用模拟退火算法求解旅行商问题的代码，采用C++编写-Using Simulated Annealing Algorithm for Solving Traveling Salesman Problem code, using C++ Prepared
sa_tsp
- 旅行商（TSP）问题一直以来都是一个NP难问题，旅行商问题（TSP问题）就是一销售商从n个城市中的某一城市出发，不重复地走完其余n-1个城市并回到原出发点，在所有可能的路径中求出路径长度最短的一条。本次软件设计是利用模拟退火算法解决TSP问题，通过该软件设计，对模拟退火算法和旅行商问题有个初步的认识。-Traveling Salesman (TSP) problem has always been a NP hard problem, traveling salesman problem (TS
SA_TSP
- 用模拟退火算法解决旅行商类优化问题，有算法和例子，很好用。-Using simulated annealing algorithm to solve traveling salesman optimization problem category, there are algorithms and examples of good use.
TspSA
- 用模拟退火算法对求解旅行商组合优化问题作了一定的研究，提出了多种不同的随机抽样方式，并对其进行了分析计算并以代码实现。 -This paper studied the optimizing of the traveling salesman problem with the Simulated Annealing(SA)． Different random sampling forms were proposed and analyzed．
simulatedannealingalgorithm
- 关于模拟退火算法的书籍,以及在0-1背包问题、旅行商问题上的实现-a book about simulated annealing algorithm
SimulatedAnnealingAlgorithm
- 本程序介绍了模拟退火算法的运用，特别是在TSP旅行商问题上的运用，是一个特别好的算法实例，功能齐全，算法优良。-It s about the Simulated Annealing Algorithm base on TSP.It s a useful Algorithm.
tsp
- 利用模拟退火算法解决旅行商问题，共二十个城市，选择最优路径-The use of simulated annealing algorithm to solve traveling salesman problem
simulated_annealing
- 人工智能问题，通过模拟退火算法实现旅行商问题，随机产生31个地址，计算旅行商走完的最短路径，并绘制路线图。作者：陈华昌-Using simulated annealing algorithm achive "traveler" problem.
TSP
- 用模拟退火算法和遗传算法实现TSP旅行商问题，并可以用Matlab对结果进行图形显示分析，非常实用于初学者-Using simulated annealing algorithm and genetic algorithm traveling salesman problem TSP, and the results can be used Matlab graphics analysis, very useful for beginners
SA
- 使用模拟退火解旅行商问题，因为这个问题本身是一个NP难问题，所以也就求不到最优解，不过应该可以求得一个比较好的解，然后再手工优化。(Using simulated annealing to solve the traveling salesman problem, because the problem itself is a NP hard problem, so it can not find the optimal solution, but it should be able to ob
模拟退火
- 对于旅行商问题的求解,帮助你更好的理解模拟退火算法(The solution of the traveling salesman problem helps you better understand the simulated annealing algorithm)
基于模拟退火算法的TSP算法
- 基于模拟退火算法的TSP算法,MATLAB算例实现(MATLAB code for Travelling salesman problem, TSP ,and it is in simulate annealing algorithm)
matlab m文件
- 基于模拟退火算法和旅行商模型的火灾预警数学建模(Mathematical modeling program of fire early warning based on simulated annealing algorithm)