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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，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，对
模拟退火例子2
- 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，即得到解组合优化问题的模拟退火算法：由初始解i和控制参数初值t开始，对
annealing
- 用模拟退火算法求解连续优化问题的MATLAB程序-annealing algorithm
six-humpcamelback
- 通用模拟退火优化算法 General simulated annealing algorithm 模拟退火优化算法能过较大限度的避免局部最优解 -General simulated annealing optimization algorithm General simulated annealing algorithm simulated annealing optimization algorithm can have a greater level of local optimal
Opt_Sim
- matlab 模拟退火经典程序，简单但实用，能很好的理解模拟退，里面还有一个无约束优化的例子-matlab classical simulated annealing procedure, a simple but practical, a good understanding of simulation can retire, which have an example of unconstrained optimization
SAGA
- 用模拟退火优化遗传算法，使遗传算法具有反向搜索能力，通过仿真表明能够得到更优的值。-Optimization by simulated annealing genetic algorithm, genetic algorithm so that the reverse search capabilities, through the simulation shows that can be better value.
tuihou
- 模拟退火算法经常用于最优化问题，本算法通俗易用！-Simulated annealing algorithm often used for optimization problems, this algorithm is popular to use!
amosa
- 进化计算会刊的模拟退火多目标优化 大家的杰作 很有参考价值-Multi-objective optimization by simealted fire
cpslssvm
- 基于混沌粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法-Based on Chaotic Particle Swarm Optimization and Simulated Annealing least squares support vector machine parameter self-selection method
ApplicationofLeastSquareSupportVectorMachine
- 基于粒子群与模拟退火优化算法的最小二乘支持向量机参数自选择方法预测混沌序列-anessayaboutchaospredictionbyPSOLSSVM
psooptimiton
- 粒子群求解无约束优化问题，包括基本粒子群算法，改进的粒子群算法，还有基于自然选择的粒子群算法和模拟退火的粒子群算法-Swarm for unconstrained optimization problems, including particle swarm algorithm, the improved particle swarm optimization, as well as natural selection based on PSO and simulated annealing p
模拟退火算法解决tsp问题
- 设计一个可以对TSP问题进行组合优化的连续型Hopfield神经网络模型，利用该魔心可以快速的找到最优的一条路线。(A continuous Hopfield neural network model for combinatorial optimization of TSP problems is designed, which can be used to find the optimal route quickly.)
模拟退火算法
- 模拟退火算法属于现代优化算法的一种，，实现NP-hard组优化问题的全局最优解，解决大量的实际问题(The simulated annealing algorithm is one of the modern optimization algorithms, which can solve the global optimal solution of the NP-hard group optimization problem and solve a lot of practical probl
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!)
模拟退火算法计算函数最小值以及SVM参数寻优
- 利用模拟退火算法求解已知函数的最小值，即模拟退火算法寻优问题，可以广泛推广。(Using simulated annealing algorithm to solve the minimum of the known function, that is, the simulated annealing algorithm optimization problem, can be widely promoted.)
模拟退火
- 直接实现matlab的模拟退火算法优化，亲测可用，修改参数即可(Matlab simulation annealing algorithm optimization)
模拟退火算法及其在求解TSP中的应用
- 模拟退火算法(Simulated Annealing，SA)最早的思想是由N. Metropolis [1] 等人于1953年提出。1983 年,S. Kirkpatrick 等成功地将退火思想引入到组合优化领域。它是基于Monte-Carlo迭代求解策略的一种随机寻优算法，其出发点是基于物理中固体物质的退火过程与一般组合优化问题之间的相似性。(The earliest idea of Simulated Annealing (SA) was put forward by N. Metropo
用模拟退火算法求解优化问题.yuann
- 模拟退火算法求解优化问题，实例非常好，推荐下载(Simulated annealing algorithm to solve the optimization problem, the example is very good, recommended download)
模拟退火算法
- MATLAB模拟退火算法，包含两个程序，一个是优化一元函数的，一个是优化多元函数的(MATLAB simulated annealing algorithm, including two programs, one is to optimize the unary function, one is to optimize the multivariate function)