Intelligent integrated optimization control of quality and quantity for lead-zinc sintering process
铅锌烧结过程质量产量的智能集成优化控制

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.