%0 Journal Article
%T Intelligent integrated optimization control of quality and quantity for lead-zinc sintering process<br>铅锌烧结过程质量产量的智能集成优化控制
%A XU Chen-hua
%A WU Min
%A <br>徐辰华
%A 吴 敏
%J 控制理论与应用
%D 2008
%I 
%X Based on features in the lead-zinc sintering process,such as the large time delay and multiple constraints,the quality-quantity-based predictive model is established and an intelligent integrated optimization control method is proposed. First,the fuzzy clustering searching method is applied to the database query optimization,and the suboptimal solution of this problem is calculated.Second,the elitist preserved simple genetic algorithm and chaos optimization are used to implement the accurate optimization.Practical applications confirm the global convergence of the method and demonstrate its industrial feasibilities in promoting product quantity and improving product quality.It is an effective and new idea to implement the global optimization control for complex process.
%K quality-quantity-based predictive model
%K optimization control model
%K fuzzy clustering
%K genetic chaos
%K intelligent integrated optimization control<br>质量产量预测模型
%K 优化控制模型
%K 模糊聚类算法
%K 遗传混沌算法
%K 集成优化控制
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=970898A57DFC021F93AB51667BAED7F7&aid=E2E9E1ABB51863E4B08B87013D4EEA5F&yid=67289AFF6305E306&vid=C5154311167311FE&iid=E158A972A605785F&sid=2A22E972FD97071B&eid=15F713CDE16A589C&journal_id=1000-8152&journal_name=控制理论与应用&referenced_num=2&reference_num=15