CPS框架下基于决策者偏好信息的NPS-CSS算法.pdfVIP

钢技术 2017 年第2 期 ANGANG TECHNOLOGY 总第404 期 CPS 框架下基于决策者偏好信息的NPS-CSS 算法 1 2 陈琳 孟婷婷 1. 钢集团信息产业有限公司, 辽宁鞍山 114003 ； 2. 辽阳县中等职业技术专业学校, 辽宁辽阳111200) 摘要 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 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。 关键词 工业4.0 ；多目标优化；决策者 好信息；NPS-CSS ；模糊 好排序 中图分类号 C934 文献标识码 A 文章编号 1006-4613(2017)02 -0032-05 NPS-CSS Algorithm Based on Preference Information of Decision Makers in CPS Framework Chen Lin1, Meng Tingting2 （1. Information Industry Co., Ltd. of Ansteel Group Corporation, Anshan 114003, Liaoning, China; 2. Secondary Vocational and Technique School of Liaoyang, Liaoyang 111200, Liaoning, China） Abstract: The new algorithm of the NPS-CSS based on the preference information of decision makers was proposed aiming at the problem of the multi -obj ective 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-obj ective optimization problem. Key words: industry 4.0 ； multi -obj ective optimization ； preference information of decision- makers;