搜索资源列表
TSP
- TSP模拟退火法，上人工智能课的时候布置的大作业，程序亲自运行调试，效果很好-TSP simulated annealing method which is the big task of the artificial intelligence class,the program personally run the debugger with good results
SA-for-TSP
- 改进的模拟退火算法，求解TSP问题，增加了升温过程，算法效果好。-Improved simulated annealing algorithm for TSP, increasing the heating process, a good algorithm results.
Tsp
- 模拟退火算法求解TSP问题,这个算法比其他的算法找到的最优解相对最优-Simulated annealing algorithm for TSP, the optimal solution of this algorithm is better than other algorithms to find the optimal relative
a-few-suanfa-jisuan-TSP
- 各种算法用来求解TSP问题的MATLAB源程序，包括蚁群算法，遗传算法，模拟退火-Ant colony algorithm using matlab simulation platform developed: algorithm, path shows that human-computer interaction control
TSP(GAaSA)
- 基于模拟退火的遗传算法求解旅行商TSP问题-TSP by GA+SA
SAA-TSP
- 模拟退火算法解决旅行商问题，城市数量27，初始温度3000，温度衰减率0.95。 -Simulated annealing algorithm to solve the traveling salesman problem, 27 the number of cities, the initial temperature of 3000, the rate of temperature decay 0.95.
TSP
- 利用模拟退火算法求解旅行商问题，从文件读入城市信息，输出结果到文件-TSP problem
Simulated-Annealing-solving-TSP
- 此段程序是用模拟退火思想解决旅行商TSP问题，有详细步骤说明。-This program solves the Traveling Salesman Problem(TSP) using an intelligent algorithm of the simulated annealing,which detail steps are explained.
TSP
- 用MATLAB实现的模拟退火算法，去有效的解决旅行商问题（TSP问题）。-MATLAB simulation annealing algorithm, to effectively solve the traveling salesman problem (TSP).
TSP
- 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-solve TSP problem, a genetic algorithm, A* algorithm, D algorithm, simulated annealing, neural networks
TSP
- 模拟退火算法解TSP, 模拟退火算法解TSP.-Simulated annealing algorithm TSP
SA_TSP
- 通过模拟退火算法解决旅行商问题，具有较全的功能，改进算法可以直接加入其中(Through the simulated annealing algorithm to solve the traveling salesman problem, with full function, the improved algorithm can be directly added to them)
SAforTSP
- 模拟退火算法求解物流配送系统的tsp问题，使用MATLAB编写语言，简单易懂，适合初学者学习。(Simulated annealing algorithm for solving logistics and distribution systems TSP problem, using MATLAB programming language, easy to understand, suitable for beginners to learn.)
Untitled5
- 给定城市坐标，通过模拟退火求解TSP问题(Given the city coordinates, solve the TSP problem by simulated annealing)
Untitled6
- 随机生成坐标，利用模拟退火求解TSP问题(Randomly generate coordinates, using simulated annealing to solve TSP problem)
MATLAB
- 本文件主要是解决TSP问题的模拟退化算法，并对算法进行了一些的改进和调整。(Analog degradation algorithm)
matlab
- 用于解决TSP的启发式算法的matlab程序，包含模拟退火算法与遗传算法。(Matlab program for solving TSP heuristic algorithm, including simulated annealing algorithm and genetic algorithm.)
SA_tsp
- 利用matlab软件，应用模拟退火算法解决31个城市的TSP问题(Using Matlab software to apply simulated annealing algorithm to solve TSP problems in 31 cities)
ACO
- 蚁群算法是一种新型的模拟进化算法，鉴于目前国内尚缺乏这一方面的研究，其研究刚刚开始，远未像遗传算法、模拟退火算法等算法那样行程系统的分析方法和坚实的数学基础，有许多问题有待进一步研究，如算法的收敛性、理论依据等更多细致的工作还有待于进一步展开。(The ant colony algorithm is a novel simulated evolutionary algorithm, given the current lack of the research on this aspect, th
各种算法解决TSP问题
- 禁忌算法、遗传算法、模拟退火算法、蚁群算法等等解决TSP问题。