文献类型：期刊文献

英文题名：An application of the particle swarm optimization on the gasoline blending process

作者：Cheng, Hui[1]; Zhong, Weimin[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

年份：2011

卷号：225 CCIS

期号：PART 2

起止页码：352

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20113614307503)

语种：英文

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

摘要：In this paper, an optimization strategy on the basis of the particle swarm optimization (PSO) method is proposed to determine the optimal recipe offline for the gasoline blending process. An octane number model is proposed for optimization. Furthermore, the proposed strategy has been applied onsite at 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 significantly decrease the quality giveaways and blending cost. The stability of the gasoline production has been improved as well. ? 2011 Springer-Verlag.