基于遗传/模拟退火算法的蒸发波导反演研究

在实现雷达海杂波反演蒸发波导剖面的寻优运算中，应用遗传算法时把握全局的能力较强，但局部搜索能力较差，易出现早熟收敛现象；应用模拟退火算法时具有较强的局部搜索能力，但全局搜索能力较差，运算效率不高.针对此问题，将两种算法进行了融合，并分析了遗传/模拟退火混合算法的参数选取及抗噪性能.利用模拟海杂波功率进行了仿真试验，结果表明：遗传/模拟退火混合算法能够互相取长补短，适用于一定噪声干扰范围内解决反演蒸发波导剖面的问题.

Inversion of evaporation duct based on genetic/simulated annealing hybrid algorithm

In the process of inverting evaporation duct profile from radar sea clutter, it presents a strong ability to grasp the overall situation but poor local search ability when using the Genetic Algorithms. On the contrary, simulated annealing algorithm has strong local search ability, but poor global search capability, and the computing efficiency is not high. In this paper, we combine the two algorithms, and then analyze the parameter selection and anti-noise performance of the genetic/simulated annealing hybrid algorithm. Finally, it is emulated according to the analog sea clutter power. The results show that the genetic/simulated annealing hybrid algorithm can complement each other, and can be applied to solve the inversion problem of evaporation duct profile in a certain noise level.