基于多目标粒子群协同算法的状态参数优化  

Multi-objective particle swarm cooperative optimization algorithm for state parameters

作　　者：丁雷[1,2] 吴敏[1] 佘锦华[3] 段平[1] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]吉首大学物理科学与信息工程学院,湖南吉首416000 [3]东京工科大学计算机科学学院

出　　处：《中国工程科学》2010年第2期101-107,共7页Strategic Study of CAE

基　　金：国家杰出青年科学基金资助项目(60425310);国家"八六三"计划课题(2008AA04Z128)

摘　　要：针对铅锌烧结过程综合透气性、烧结终点的优化具有强非线性、计算复杂等特点,提出了一种有效的多目标粒子群协同优化算法。首先,建立了有综合透气性、烧结终点两个目标的优化模型。接着,通过改进的约束比较方法、粒子极值选取方法,以及利用不同的粒子群来分别优化相应的变量,提出了一种改进的多目标粒子群协同优化算法。最后,利用提出的多目标优化算法进行综合透气性、烧结终点的优化。仿真结果表明,所提出的多目标优化算法能较好地解决综合透气性、烧结终点的优化问题。To deal with the characters with the strong nonlinear and complex computing of synthetic permeability and burn-through point in the lead-zinc sintering process,an efficient multi-objective particle swarm cooperative optimization algorithm is proposed.Firstly,the multi-objective optimization model for burn-through point and synthetic permeability is established.Secondly,an improved multi-objective particle swarm cooperative optimization algorithm is presented by improving the constraint comparison method and the way of selecting the particles＇ optima,and using different swarms to optimize corresponding variables respectively.Finally,the proposed multi-objective optimization algorithm is applied to optimize the synthetic permeability and the burn-through point.The simulation results show that the proposed multi-objective optimization algorithm effectively solves the optimization problem of the synthetic permeability and burn-through point.

关 键 词：铅锌烧结过程 综合透气性 烧结终点 多目标粒子群协同优化算法 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]