改进遗传算法在烧结法氧化铝生料浆优化调配中的应用  

The Application of Improved Genetic Algorithm in Raw Mix Slurry Optimal Arrangement of Alumina Process

作　　者：杨旭坤[1] 阳春华[1] 王雅琳[1] 桂卫华[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《计算技术与自动化》2006年第1期44-46,共3页Computing Technology and Automation

基　　金：973计划资助项目(2002CB31200);国家自然科学基金(60574030);高校博士点基金(20050533016)

摘　　要：由于烧结法氧化铝配置生料浆过程中不确定性因素多,成分分析滞后,造成生料浆出磨合格率低,一般需经调配使生料浆质量指标符合工艺要求。本文建立生料浆调配过程的优化模型,针对模型中的多目标函数以及非线性约束特点,提出一种结合惩罚策略的改进遗传算法进行寻优。工业应用表明应用该算法能快速有效求得最优调配方案。In the alumina process with sintering, the slurry comes out from the grind with low quality because of lots of uncertainty factors and the delay of composition analysis, the qualified raw mix slurry is commonly gained through arranging. In this paper, an optimal model for arrangement is designed, which is with multi - objective funetion and nonlinear constraints, and an improved genetic algorithm with penalty strategy is proposed to solve the optimization problem. The industrial application shows that the optimal arrangement scheme can be obtained efficiently by applying the proposed algorithm.

关 键 词：优化调配 遗传算法 非线性约束 惩罚函数 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]