Multi-objective intelligent coordinating optimization blending system based on qualitative and quantitative synthetic model

来源期刊：中南大学学报(英文版)2006年第5期

论文作者：王雅琳 马杰 桂卫华 阳春华 张传福

文章页码：552 - 557

Key words：Pb-Zn sintering blending process; qualitative and quantitative synthetic model; multi-objective optimization; area optimization; intelligent coordination

Abstract: A multi-objective intelligent coordinating optimization strategy based on qualitative and quantitative synthetic model for Pb-Zn sintering blending process was proposed to obtain optimal mixture ratio. The mechanism and neural network quantitative models for predicting compositions and rule models for expert reasoning were constructed based on statistical data and empirical knowledge. An expert reasoning method based on these models were proposed to solve blending optimization problem, including multi-objective optimization for the first blending process and area optimization for the second blending process, and to determine optimal mixture ratio which will meet the requirement of intelligent coordination. The results show that the qualified rates of agglomerate Pb, Zn and S compositions are increased by 7.1%, 6.5% and 6.9%, respectively, and the fluctuation of sintering permeability is reduced by 7.0%, which effectively stabilizes the agglomerate compositions and the permeability.