%0 Journal Article
%T Intelligent Integrated Modeling and Synthetic Optimization for Blending Process in Lead-Zinc Sintering<br>铅锌烧结配料过程的智能集成建模与综合优化方法
%A WANG Chun-Sheng WU Min CAO Wei-Hua HE YongSchool of Information Science
%A Engineering
%A Central South University
%A Changsha
%A <br>王春生
%A 吴敏
%A 曹卫华
%A 何勇
%J 自动化学报
%D 2009
%I 
%X To deal with the problem of high cost and low accuracy existing in conventional methods for the blending process in lead-zinc sintering, a kind of methodology for intelligent integrated modeling and synthetic optimization is proposed in this paper. First, based on the process neural network model and improved grey system prediction model, an intelligent integrated model is presented using the concept of entropy to not only guarantee the composition prediction precision of Pb-Zn agglomerate but also meet the requirements of the data completeness by blending computation. Then, a blending optimization model is established for the purpose of minimizing the costs. Finally, the mixture ratios are optimized by using a qualitative and quantitative meta-synthesis methodology based on the expert reasoning strategies and improved immune genetic algorithm. The simulation results demonstrate the validity of the proposed methodology.
%K Lead-Zinc sintering process
%K integrated prediction model
%K blending optimization model
%K expert reasoning strategy
%K improved immune genetic algorithm
%K qualitative and quantitative synthesis<br>铅锌烧结过程
%K 集成预测模型
%K 配料优化模型
%K 专家推理策略
%K 改进免疫遗传算法
%K 定性定量综合集成
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=1B19A3195D10DE45B94479E70EE5D92E&yid=DE12191FBD62783C&vid=6209D9E8050195F5&iid=94C357A881DFC066&sid=10A39635766FF5D0&eid=EF9E84B2DA79FF23&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0