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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
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该算法是模拟退火的一个简单应用，通过求一个函数的最值问题，可以透彻理解模拟退火的原理！-The simulated annealing algorithm is a simple application of a function by seeking the most value problems, simulated annealing can be a thorough understanding of the principles!
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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
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Adaptive Simulated Annealing (ASA) is a C-language code developed to statistically find the best global fit of a nonlinear constrained
non-convex cost-function over a D-dimensional space. This algorithm
permits an annealing schedule for "temper
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SAVI(Simulated Annealing algorithm for minimizing Validity Index)详见李铁军教授的个人主页http://dsec.pku.edu.cn/~tieli/-SAVI(Simulated Annealing algorithm for minimizing Validity Index), developed by Tiejun Li(Peking University) is based on the optimal reduction
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基于混沌的模拟退火算法，包括广义互相关函数GCC时延估计，Gabor小波变换与PCA的人脸识别代码。- Chaos-based simulated annealing algorithm, Including the generalized cross-correlation function GCC time delay estimation, Gabor wavelet transform and PCA face recognition code.
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混沌的判断指标Lyapunov指数计算,包括广义互相关函数GCC时延估计，基于混沌的模拟退火算法。- Chaos indicator for Lyapunov index calculation, Including the generalized cross-correlation function GCC time delay estimation, Chaos-based simulated annealing algorithm.
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