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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
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
algorithm
- 模拟退火法，蚁群算法，遗传算法，分水岭算法等常见算法的Matlab程序-Simulated annealing, ant colony algorithm, genetic algorithm, watershed algorithm common algorithm Matlab program
Theadvancedcomparisonalgorithmlecture
- 在本讲义中，我们将着重讲述一些数学建模中常用的算法，包括神经网络算法、遗传算 法、模拟退火算法和模糊数学方法。用这些算法可以较容易地解决一些很复杂的，常规算法很难解决的问题。-In this lecture, we will focus on about a number of commonly used mathematical modeling algorithms, including neural network algorithm, genetic algorithm Meth
DMOEADD_code2009
- 动力学演化算法解决多目标优化问题，采用了与模拟退火算法相结合的准则，理论基础来源于统计力学中的自由能极小化定律。 -Evolutionary Algorithms for Solving Multi-Objective Problems
Simulated
- 用模拟退火算法求30个城市的旅行商问题的C程序-Simulated Annealing Algorithm with 30 cities of the TSP C program
monituihuosuanfa
- 模拟退火算法在图像处理中的典型应用，用matlab编程-Simulated annealing algorithm in a typical image processing applications, programming with matlab
monituihuo
- 模拟退火算法 自己写的一点小程序 提供一点参考-Simulated annealing algorithm to write their own applets provide a reference point
simulateanneal
- 一个解决0-1背包问题的模拟退火程序，希望给有需要的人帮助-A solution to the 0-1 knapsack problem simulated annealing process, hoping to help those in need
MainFrm
- 利用模拟退火法计算求取两座城市之间距离的最小值。-The simulated annealing method to obtain the minimum distance between two cities.
simulatedannealing
- 用MATLAB编制的模拟退火程序，程序后附注解释，以帮助理解-Compiled with MATLAB simulated annealing procedure