搜索资源列表
tspDEMO
- tsp问题求解,旅行商问题求解使用模拟退火算法-TSP SOLVED IN VC++
Data_fusion
- 为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小-In order to obtain more accurate estimates of the location
2
- 模拟退火MATLAB程序-MATLAB simulated annealing process. . . . . . . . . . . . . . . . . . . . . . . . . .
simulatedannealing
- 数学建模美赛德经典算法MATLAB 源码之退火算法-MCM s very important algorithm simulated annealing
Hamilton
- 哈密尔顿回路算法,内含TSP模拟退火算法和三边交换简单算法-Hamilton-loop algorithms, simulated annealing algorithm includes TSP and trilateral exchange of a simple algorithm for
SimulatedAnnealing
- 模拟退火算法,利用该算法,实现方程的快速求解-Simulated Annealing
SimulatedAnnealing12
- 模拟退火算法,利用该算法,实现方程的快速求解以及寻找最优路径-Simulated Annealing
SimulatedAnnealing123
- 程序是利用模拟退火算法解决TSP问题,很具有实用性-Program is the use of simulated annealing algorithm to solve the TSP problem
sa-tap
- 模拟退火算法在处理全局优化、离散变量优化等困难问题中,具有传统优化算法无可比拟的优势。描 述了模拟退火算法的原理及其基本框架结构,给出了用模拟退火算法求解TSP问题的具体实现方法 -Simulated annealing algorithm in dealing with global optimization, discrete variable optimization of difficult problems, traditional optimization algorithm
procedure
- 可以判断输入数据与已知数据的符合程度,模拟退火算法,获取系统日期,数字水印,java读取文件-Input data can be judged in line with the known data, the degree of simulated annealing algorithm, access to the system date, digital watermarking, java read the file
CAD
- 自己编写的电路分析,优化程序,可求解电路响应,计算元件灵敏度,优化方法包括Powell法,模拟退火法,可部分实现滤波器设计的功能-I have written the circuit analysis, optimization procedures, can solve the circuit response, computing components sensitivity, and optimization methods including Powell method, simulat
upload4
- 使用模拟退火算法解决旅行商问题 程序框架中的Annealing.java文件,Annealing.java实现了Inter.java接口中的函数。接口函数getStrategy是一个返回类型为void的函数,函数的输入参数是一个字符串,代表输入文件的文件名-The use of simulated annealing algorithm to solve the TSP program in the framework of Annealing.java files, Annealing.j
SA_TSP_Rev1
- matlab实现模拟退火,程序实现很有效果-matlab implementation of simulated annealing, the program to achieve very effective
PIDcontrowithAOC
- 除了蚁群算法,可用于PID参数优化的智能算法还有很多,比如遗传算法、模拟退火算法、粒子群算法、人工鱼群算法,等等。-In addition to ant colony algorithm can be used to optimize the PID parameters there are many intelligent algorithms, such as genetic algorithms, simulated annealing algorithm, particle swarm
Annealing
- 使用模拟退火算法解决旅行商问题,输入为城市之间距离的描述,输出为城市之间的路径-The use of simulated annealing algorithm to solve the traveling salesman problem, enter a descr iption of the distance between cities, the output path between cities
sa-ppt-sample
- 模拟退火算法最早的思想由Metropolis等(1953)提出,1983年Kirkpatrick等将其应用于组合优化。-Simulated annealing algorithm was first thought by Metropolis et al (1953) suggested that, in 1983, Kirkpatrick and so on will be applied to combinatorial optimization.
AnnealingAlgorithm
- 利用模拟退火算法计算完备图的哈米尔顿圈,编的好辛苦的-Using simulated annealing algorithm, a complete map of the Hamiltonian cycles, compiled a good hard
Solving
- 求解双层规划问题常用的算法有极点算法、直接搜索法、下降法和非数值优化方法(如模拟退火算法、遗传算法等),遗传算法的求解思路是:首先对上层的决策变量编码,代人下层规划模型,通过求解下层模型的决策变量值,代入上层模型计算适应度值,然后进行交叉、变异、选择操作,最后求出最优解。-Solving Bilevel Programming Problems with pole algorithm commonly used algorithms, direct search method, descent
123
- 算法合集之《非完美算法初探》里面介绍了包括退火算法的好几种算法 希望你们能有用-Algorithm collection of " non-perfect algorithm of" which describes several types, including annealing algorithm hope that you can be useful
tsp
- 蚂蚁算法代码,是基于进化理论的优化算法,与流行的遗传算法、模拟退火有着共同的优点-ant evolution code