煤矿安全2018，Vol.49Issue(2)：163-165,3.DOI:10.13347/j.cnki.mkaq.2018.02.044
粉煤灰颗粒分布重建果蝇算法分析
Fruit Flies Optimization Algorithm Analysis for Fly Ash Particle Size Distribution Reconstruction
摘要
Abstract
In order to adapt to the rapid detection of particle size of fly ash in industrial field,the fly ash particle size distribution reconstruction by fruit flies optimization algorithm was studied.An online measurement platform for particle size is set up.The standard fly ash particles were used as experimental materials to simulate the experiment under noisy environment.The particle size of the fly ash particle was calculated by fruit flies algorithm and the results were compared with those obtained by genetic algorithm and particle swarm algorithm.The results show that the particle size of the particle is 1.07％ and the calculation time is 1.21 s by fruit flies optimization algorithm.Compared with the other two algorithms,it has good inversion accuracy and fast iteration speed.关键词
果蝇算法/粉煤灰颗粒/颗粒粒径/快速检测/在线测量Key words
fruit flies optimization algorithm/fly ash particle/particle size/quick check/on-line measurement分类
矿业与冶金引用本文复制引用
赵延军,曲毅,冯国旗..粉煤灰颗粒分布重建果蝇算法分析[J].煤矿安全,2018,49(2):163-165,3.基金项目
国家自然科学基金资助项目(51476154) （51476154）
