摘要
针对中小型炼铁企业烧结工艺的要求,以混匀矿SiO2和TFe含量精度,以及混匀矿成本为目标函数,建立了烧结主原料混匀矿配比数学模型,采用蚁群算法对混匀矿配比进行实时优化计算,并利用遗传算法对蚁群算法加以改进,取得了良好效果,保证了堆积物料中SiO2含量和TFe含量与大堆预想成分中含量基本相近的同时降低混匀矿造堆成本.
On the basis of process requirement of sintering in ironmaking plant of small and medium steel enterprises, taking the precision of the SiO2 and TFe content in mixture ore and its cost as the objective function, the raw material proportion mathematical model was established. The real-time optimized computation of raw material proportioning was conducted by using ant colony algorithm, and the use of genetic algorithm to ameliorate it, the good effect was obtained. So at any time, the SiO2 content and the TFe content in stacking raw material we simulated and the cost of mixture ore was reduced at the same time.
出处
《天津理工大学学报》
2009年第4期7-10,共4页
Journal of Tianjin University of Technology
基金
国家高技术研究发展计划(863计划)项目(2007AA041401)
天津市自然科学基金重点项目(08JCZDJC18600)
天津市科技计划项目(07ZHRDCG04500)
天津市高等学校科技发展基金(2006ZD32)
天津市复杂系统控制理论及应用重点实验室资助
关键词
蚁群算法
遗传算法
优化
ant colony algorithm
genetic algorithm
optimize
