文献类型：期刊文献

英文题名：An application of the improved hybrid particle swarm optimization method in the gasoline blending process

作者：Shu, Yue[1]; Cheng, Hui[1]; Liu, Yi[2]; Qi, Rongbin[1]; Liu, Zhao[1]; Qian, Feng[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; [2] SinoPec Jinling Petrochemical Ltd., Nanjing, 210033, China

年份：2011

起止页码：6P

外文期刊名：IWACIII 2011 - International Workshop on Advanced Computational Intelligence and Intelligent Informatics, Proceedings

收录：EI(收录号：20130916070687)

语种：英文

外文关键词：Gasoline - Blending - Particle swarm optimization (PSO)

摘要：In this paper, an improved hybrid particle swarm optimization (IHPSO) method, which is able to handle the equality constraints efficiently, has been proposed to determine the optimal recipe offline for the gasoline blending process. In addition, the proposed method has been applied onsite in a gasoline production line in Nanjing, China. The results show that the optimized recipes are able to improve the first-time success rate for the blending process and decrease the quality giveaways and blending cost significantly.