搜索资源列表
GA_tuihuo1
- 模拟退火优化遗传算法，改进了遗传操作，自适应参数(improved simulated annealing and optimized genetic algorithm)
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.)
SA
- 该算法是模拟退火中最经典的一个算法，解决最短路的问题。运行过完全没有任何bug，代码中给了相关的数据，如果想用的话，只需要把你需要的数据放进去直接运行就可以出结果(The algorithm is the most classic algorithm in simulated annealing to solve the shortest path problem. Run completely without any bug, the code to the relevant data, if
模拟退火
- 利用模拟退火算法 计算城市最短距离 无闭合回路tsp商旅问题求解(monituihou jiejeuchengshi zuiduanlujingwenti)
monituihuo
- 利用模拟退火算法计算f(x)=xcos(5*pi*x)+3.5在区间【-1，2.5】上的最小值(The minimum value of F (x) =xcos (5*pi*x) +3.5 in the interval [-1, 2.5] is calculated by using simulated annealing algorithm)
模拟退火算法
- 此种算法简单，有效，可以对所求的数据更加优化，使所求数据更加合理，绝对可以运行，请大家放心。(This algorithm is simple and effective. It can be more optimized for the data requested, so that the data is more reasonable and can be run. Please be assured.)
模拟退火
- 此代码用于求解二维数据中的优化问题，效果挺好的，文件里有二维数据的问题，大家可以好好看看！(This code is used to solve optimization problems in 2d data. The results are good. There are two dimensional data problems in the file, so you can have a good look!)
模拟退火禁忌搜索遗传算法神经网络MATLAB程序合集
- 模拟退火，禁忌搜索，遗传算法，神经网络-MATLAB程序合集(Simulated annealing, tabu search, genetic algorithms, neural networks - MATLAB collection)
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)
基于遗传模拟退火算法的聚类算法
- 基于遗传模拟退火算法实现数据的聚类，为后续的数据分析做准备(Data clustering analysis based on genetic simulated annealing algorithm)
sacode1
- 模拟退火算法解决函数ff=x^2(-20<x<20)极值(Simulated annealing algorithm for solving function extremum)
Simulated-Annealing-master
- matlab 模拟退火算法例子程序，求解一个数，代码及其简易，建议多学习(Matlab simulated annealing algorithm example program)
MN
- 模拟退火算法的实现代码，很好的例子，有助于学习算法。(Simulated annealing algorithm implementation code, a very good example of learning algorithm.)
sa
- 模拟退火算法实现工作指派问题求最优解，c++实现(Simulated annealing algorithm to achieve the work of the assignment problem for the optimal solution, c ++ implementation)
模拟退火
- 本文件用C语言实现模拟退火算法，供大家学习与交流使用。(This document uses C language to achieve simulated annealing algorithm for everyone to learn and exchange use)
Auto_Path
- 利用MATLAB语言模拟退火算法和遗传算法这两个算法结合构成的遗传模拟退火算法对移动机器人进行路径规划(Using MATLAB simulated annealing algorithm and genetic algorithm two genetic algorithms combined with genetic simulated annealing algorithm for mobile robot path planning)
SLM_ModeConversion
- 基于模拟退火算法的光学模式转换，为模分复用一种高效转换算法。(Based on the optical mode conversion of simulated annealing algorithm, a high efficiency conversion algorithm is used for modular division multiplexing.)
zip
- 利用模拟退火算法实现矩形件排样问题,利用模拟退火算法，基于最优下线编码方式，对矩形件进行下料处理。(A simulated annealing algorithm is used to solve the problem of rectangular sample layout, and the method of simulated annealing is used to process the rectangular parts.)
MainAneal
- 已经调试好的模拟退火法，可以直接用，不用谢(A well adjusted annealing method)