note.txt

来自「非线性单纯性和模拟退货算法的matlab程序： 本程序实现了非线性单纯性和模拟」· 文本 代码 · 共 3 行

Simplex-Simulated annealing (SIMPSA)
Algorithms based on simulated annealing employ a stochastic generation of solution vectors and employ similarities between the physical process of annealing (i.e. melting a solid by heating it, followed by slow cooling and crystallization into a minimum free energy state) and a minimization problem. During the cooling process, transitions are accepted to occur from a low to a high energy level through a Boltzmann probability distribution. For an optimization problem, this corresponds to "wrong-way" movements. This implementation contains an algorithm that was described in Cardoso et al. (1996) and is based on the combination of the non-linear smplex and simulated annealing algorithms (the SIMPSA algorithm).