本文通过充分消化和吸收国内外关于非线性最优化方法的研究成果 ,在对模拟退火和遗传算法剩余静校正进行大量模型试验分析、研究的基础上 ,提出了一种遗传退火混合的新算法 ,实现了模拟退火和遗传算法的绝大部分控制参数自动调整的思想 ,极大地提高了模拟退火和遗传算法的收敛能力和计算效率 ,能很好地解决低信噪比和大剩余静校正量问题 In this paper, by digesting and assimilating the research results of nonlinear optimization methods both at home and abroad, a large number of model tests on simulated annealing and residual statics of genetic algorithm are carried out. Based on the research, a new genetic annealing algorithm is proposed, Which realizes the idea of ​​automatic adjustment of most control parameters of simulated annealing and genetic algorithms, greatly improves the convergence ability and computational efficiency of simulated annealing and genetic algorithms, and can well solve the problem of low signal-to-noise ratio and large residual statics