模拟退火遗传算法在尘埃粒子计数器标定中的应用

Application of the Annealing and Genetic Algorithm in the Calibration of Airborne Particle Counter

文章结合模拟退火算法和遗传算法,研究了国产尘埃粒子计数器单分散粒子标定问题.模拟退火遗传混合算法收敛速度快,有效防止种群早熟现象,也显著提高了尘埃粒子计数器粒径分布反演计算的稳定性,对单径标准粒子检测的分辨率提高到98%以上,为尘埃计数器标定提供了一种新的思路和方法.

There researches the calibration problem of the airborne particle counter for standard single radius particle on the basis of the combination of simulated annealing algorithm and genetic algorithm. The simulated annealing and genetic algorithm can improve the evolution speed and prevent the population from premature. On the other hand,it can greatly raise the measurement stability of the inversion of particle granularity and distribution. The distinguish ability of the new inversion model can be raised above 98 % for the measurement of standard single radius particle. It also provides one kind of new mentality and method for the calibration of the laser airborne particle counter.