搜索资源列表
moyituhuo
- 模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制
simann
- 用fortran语言写的模拟退火法的例子。模拟退火法作为一种全局优化算法，应用广泛，而fortran作为科学计算语言，是很多研究人员的首选，因此该程序容易被研究者集成到自己的程序中去。-Simulated annealing is a global optimization method, which is widely used, and fortran is a widely accepted scientific programing language, so this code is v
wangzhan
- 智能优化算法（蚁群算法，模拟退火退火算法，遗传算法,等）-Intelligent optimization algorithm (ant group, annealing, genetic algorithm and so on)
monituihuo
- 模拟退火fortran程序,可以根据优化函数设置参数-C Simulated annealing is a global optimization method that distinguishes C between different local optima. Starting from an initial point, the C algorithm takes a step and the function is evaluated. When minimizin
Simulated-Annealing
- 非经典优化算法模拟退火PPT，学习数学建模有用-Simulated Annealing
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题；用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
test2
- 模拟退火程序解TSP。C++编程用智能优化算法TSP问题，对初学者有一定帮助。-Simulated annealing process solution TSP. C++ programming with intelligent optimization algorithm TSP problem, some help for beginners.
Simulated-Annealing-matlab-code
- Simulated Annealing matlab code.zip是一个实用的标准的模拟退火算法（SA）matlab程序，非常适合学习智能优化算法的朋友下载来学习。-Simulated Annealing matlab code.zip is a practical standard simulated annealing (SA) matlab program, very intelligent optimization algorithms for learning a friend t
SA
- 模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
MCMC
- 基于模拟退火算法的马尔科夫蒙特卡洛算法matlab程序，实现了对levy函数的优化。-A Markov Chain Monte Carlo alogrithm based on annealing phenomenon,which maximzies and minimizes the levy function.
fengleng_v21
- 基于混沌的模拟退火算法，计算十字叉丝的在不同距离的衍射图像,包含优化类的几个简单示例程序。- Chaos-based simulated annealing algorithm, Calculation crosshairs diffraction image at different distances, Optimization class contains several simple sample programs.
menyan_v81
- 包含优化类的几个简单示例程序，基于混沌的模拟退火算法，直线阵采用切比学夫加权控制主旁瓣比。- Optimization class contains several simple sample programs, Chaos-based simulated annealing algorithm, Linear array using cut than learning laid upon the right control of the main sidelobe ratio.
mingnai
- 基于混沌的模拟退火算法，LCMV优化设计阵列处理信号，已经调试成功.内含m文件，可直接运行。- Chaos-based simulated annealing algorithm, LCMV optimization design array signal processing, Has been successful debugging. M contains files can be directly run.
teng
- 是机器学习的例程，LCMV优化设计阵列处理信号，基于混沌的模拟退火算法。- Machine learning routines, LCMV optimization design array signal processing, Chaos-based simulated annealing algorithm.
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)
anneal
- 智能优化算法 模拟退火算法具有较好的全局搜索性(Intelligent optimization algorithm-the simulated annealing algorithm has better global search performance)
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