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模拟退火源码
- 模拟退火算法 模拟退火算法(Simulated Annealing,简称SA算法)是模拟加热熔化的金属的退火过程，来寻找全局最优解的有效方法之一。 模拟退火的基本思想和步骤如下： 设S＝{s1,s2,…,sn}为所有可能的状态所构成的集合， f：S—R为非负代价函数，即优化问题抽象如下： 寻找s*∈S，使得f(s*)＝min f(si) 任意si∈S （1）给定一较高初始温度T，随机产生初始状态S （2）按一定方式，对当前状态作随机扰动
模拟退火程序
- 以一个简单的例子说明模拟退火算法的思想。 模拟退火法求函数f(x,y) = 5sin(xy) + x^2 + y^2的最小值，对理解模拟退火算法是一个很好的程序示例。-to a simple example illustrates the simulated annealing algorithm thinking. Simulated Annealing for the function f (x, y) = 5sin (xy) x
模拟退火算法求解TSP问题
- 模拟退火算法求解TSP问题，希望对大家有所帮助-simulated annealing algorithm for TSP, we hope to help
matlab模拟退火
- 模拟退火算法是为了避免求解最优化出现局部极值的问题而提出的算法，保证最终的结果是全局最优的，该matlab源程序能在matlab环境中实现-simulated annealing method is the best solution in order to avoid a partial optimization of extreme concern raised by the algorithm to ensure that the
模拟退火例子1
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组
模拟退火例子3
- 模拟退火算法来源于固体退火原理，将固体加温至充分高，再让其徐徐冷却，加温时，固体内部粒子随温升变为无序状，内能增大，而徐徐冷却时粒子渐趋有序，在每个温度都达到平衡态，最后在常温时达到基态，内能减为最小。根据Metropolis准则，粒子在温度T时趋于平衡的概率为e-ΔE/(kT)，其中E为温度T时的内能，ΔE为其改变量，k为Boltzmann常数。用固体退火模拟组合优化问题，将内能E模拟为目标函数值f，温度T演化成控制参数t，即得到解组
dossier
- For the incomplete methods, we kept the representation of the queens by a table and the method of calculation to determine if two queens are in conflict, which is much faster for this kind of problems than the representa
Matlab-Toolbox2
- 自适应模拟退火软件包，我也正在学习中，希望有人指教-Adaptive Simulated Annealing package, I was learning, hoping that someone will enlighten
tuihou
- 用VC++方法实现模拟退火算法，解决TSP问题-VC method of simulated annealing algorithm to solve TSP
Math-Matlab-Engine-0.02.tar
- 是MATLAB的模拟退火码 -MATLAB is the simulated annealing code is simulated annealing MATLAB code is simulated annealing MATLAB code
C-SAA
- 因课程需要，编写了C语言的模拟退火算法，其中随机数的产生方法至关重要。-curriculum needs, the preparation of the C language simulated annealing algorithm, the number of random selection is crucial.
vcfortsp
- 这是一款基于vc编写的模拟退火算法，界面简洁易用，并附有源代码，希望对大家学习有所帮助-This is a vc prepared based on simulated annealing algorithm, the interface simple and easy-to-use, with source code, and they hope to help them to learn
Anneal_Cpp
- 模拟退火（Simulated Annealing）算法c++源程序-simulated annealing (Simulated Annealing) algorithm c source
Anneal_C
- 模拟退火（Simulated Annealing）算法c语言源程序-simulated annealing (Simulated Annealing) algorithm source language c
sa_tsp1.m
- 模拟退火算法解决stp问题的例程，直接运行即可，可以通过改变参数得到不同的图。-simulated annealing algorithm to solve the problem stp routines, can be run directly. by changing the parameters can be different plans.
SAOFC
- 基于C++语言的改进TSP模拟退火算法.-based on the C language to improve TSP simulated annealing algorithm.
SimulatedAnnealing
- 模拟退火程序:这部分代码是模式识别中结合模拟退火法的特征提取，大家可以对其进行简单的改进会获得更好的效果，比如改变温度表，加上“记忆体”，结合遗传算法等 -simulated annealing procedures : This code is part of pattern recognition in combination with simulated annealing method of feature extract
satools-103
- 模拟退火算法.里面有很多的例子可以参考.解压后在matlab平台下运行.-simulated annealing algorithm. There are many examples of reference. Unpacked in Matlab platforms.
simulate_knapsack
- 下面是模拟退火算法的代码,使用模拟退火算法（SAA）解决0－1背包问题 -Below are simulated annealing algorithm code, the use of simulated annealing algorithm (SAA) 0-1 knapsack problem solving
matlabtsp
- 在matlan下利用模拟退火算法实现的TSP程序，程序带有注释-in using simulated annealing algorithm TSP procedures, procedures with Notes