非常快速模拟退火算法在相关声纳测速中的应用

Application of Very Fast Simulated Annealing Algorithm in the Velocity Measurement among Correlation Sonar

尽管传统的模拟退火算法是一种全局寻优算法，但是存在收敛速度较慢的缺陷。本文提出了采用非常快速模拟退火算法实现相关声纳测速的方法，该算法采用依赖于温度的似Cauchy分布产生新的扰动模型，通过改变模型扰动、接收概率和降温方式来加快模拟退火算法的收敛速度，仿真结果证明了该算法的有效性。

Although the classical simulated annealing（CSA） algorithm is a method of finding the global minimum, there is the shortcoming of slow convergence. The very fast simulated annealing （VFSA） algorithm is proposed for the velocity measurement among correlation sonar, which is based on the turbulent model derived from temperature-dependent pseudo Cauchy distribution. It speeds up the conver-gence rate of simulated annealing algorithm by changing the model disturbance, acceptance probability and temperature lowering way. Simulation shows the feasibility of this algorithm.