提出一种自动缩小反演范围的实数编码混合遗传算法,并用于光子相关光谱颗粒粒度测量中.该算法利用混沌遍历性质,融入模拟退火算法,具有较强的局部搜索能力.通过数值模拟,讨论在无噪声和多种噪声水平影响下单分散颗粒系的反演结果;分析90 nm聚苯乙烯标准颗粒样品的实验测量数据.结果表明,反演的粒径分布在峰值位置、峰宽度、峰对称性等方面很接近颗粒的真实分布,具有较强的抗噪声干扰能力.
A real-code hybrid genetic algorithm for nano-particle sizing with photon correlation spectroscopy is presented.With ergodic properties of chaos and simulated annealing algorithm,our algorithm shortens inversion range automatically.It has a relatively strong local searching ability.Numerical simulations are performed for mono-disperse particle system under noise-free condition and noise with various noise levels.Inversion of experimental results of 90nm standard samples of polystyrene particles is made.It shows effectiveness,reliability and ability of noise resistance of the algorithm.