自适应模拟退火算法源码

上传者: zheong | 上传时间: 2021-08-20 20:02:18 | 文件大小: 605KB | 文件类型: ZIP
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 "temperature" T decreasing exponentially in annealing-time k, T = T_0 exp(-c k^1/D). The introduction of re-annealing also permits adaptation to changing sensitivities in the multi-dimensional parameter-space. This annealing schedule is faster than fast Cauchy annealing, where T = T_0/k, and much faster than Boltzmann annealing, where T = T_0/ln k. ASA has over 100 OPTIONS to provide robust tuning over many classes of nonlinear stochastic systems.

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评论信息

  • weiqinerzhan :
    还没研究明白,在琢磨琢磨
    2019-05-20
  • weixin_43826400 :
    很好的程序,可以好好学习一下,经典的程序啊
    2018-11-30
  • chhao :
    还不错,有用。谢谢了
    2018-08-08
  • flyingpork1 :
    不错的资源,包括了自适应模拟退火算法的程序和说明文档。
    2016-08-24
  • yyq198911 :
    很好的程序,可以好好学习一下,经典的程序啊
    2013-12-25

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