激光技术Issue(4)：484-487,4.DOI:10.7510/jgjs.issn.1001-3806.2014.04.011
多种群遗传算法在湿蒸气参量测量中的应用
Application of multi-population genetic algorithm in wet steam parameter measurement
摘要
Abstract
In order to measure the wet steam parameters with laser scattering method , monitor the steam humidity at the final stage and guide the safe operation of turbine , the multi-population genetic algorithm was adopted , cubic spline interpolation was used in stead of scattering theory , the least squares of theoretical value and measured value were adopted as the objective functions and the appropriate control parameters were set up for searching the optimization among the simulation data added Gaussian white noise and the experimental data of analog cylinder .The experimental results show that multi-population genetic algorithm can effectively restraint premature convergence , locate the global optimal solution accurately and inverse every parameter of wet steam prominently among some hereditary algebras .The study is helpful for the measurement of wet steam parameters with laser scattering method and the inversion of particle size distribution .关键词
散射/湿蒸气参量/多种群遗传算法/散射比/反演Key words
scattering/wet steam parameter/multi-population genetic algorithm/scattering ratio/inversion分类
数理科学引用本文复制引用
杨颖,黄竹青,刘芳艳,蔡成,许春山..多种群遗传算法在湿蒸气参量测量中的应用[J].激光技术,2014,(4):484-487,4.基金项目
国家自然科学基金资助项目（51376025）；湖南省自然科学基金重点资助项目（12JJ2031）；湖南省科技厅重点资助项目 （）
