CPS框架下基于决策者偏好信息的NPS-CSS算法

NPS-CSS Algorithm Based on Preference Information of Decision Makers in CPS Framework

在研究钢铁企业面临的最优化问题中,提出了一种新的针对多目标优化问题的求解算法——基于决策者偏好信息的NPS-CSS算法,同时结合鞍钢球团在链篦机-回转窑的预热、焙烧过程,对该算法的实用性和高效性进行了验证。为解决多目标优化问题提供了一种可行性方案,具有较强的有效性和实用性。

The new algorithm of the NPS-CSS based on the preference information of decision makers was proposed aiming at the problem of the multi-objective optimization in studying the optimization problem which the iron and steel industry was confronted with. And then the practicality and high efficiency of the new algorithm were verified combining with the actual preheating process and roasting processes of the pellets in the chain grate machine-rotary kiln in Ansteel. The algorithm has a relatively high efficiency and good practicality which might offer a feasible solution for the multi-objective optimization problem.