Genetic algorithm could be used to search for error angles of the strapdown inertial guidance system after coarse alignment is completed, for there is great superiority in speed because of its global searching ability. But there are also limitations in local searching ability of the algorithm, so as for the precision of searching results. Simulated annealing tends to be trapped in local optima, but it also possess powerful fine adjustment ability. So the combination of genetic algorithm and simulated annealing could be sufficient to initial alignment for speed and precision. Simulations showed that genetic simulated annealing algorithm could greatly improve local searching ability of the genetic algorithm, and could get results which are better in precision.
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李斌 谷宏强. 遗传模拟退火算法在初始对准中的应用仿真[J]. 科学技术与工程, 2007, (24): 6475-6478. LI Bin, GU Hong-qiang. Simulation of Genetic Simulated Annealing Algorithm in Initial Alignment[J]. Science Technology and Engineering,2007,(24):6475-6478.