Cooperative evolutionary algorithm and its application in soft sensor modeling

doi:10.3778/j.issn.1002-8331.2009.31.072

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (31): 241-244.DOI: 10.3778/j.issn.1002-8331.2009.31.072

• 工程与应用 • Previous Articles Next Articles

Cooperative evolutionary algorithm and its application in soft sensor modeling

BU Yan-ping^1，2，YU Jin-shou¹

1.Research Institute of Automation，East China University of Science and Technology，Shanghai 200237，China
2.School of Technology，Shanghai Jiaotong University，Shanghai 201101，China

Received:2008-06-16 Revised:2008-10-08 Online:2009-11-01 Published:2009-11-01
Contact: BU Yan-ping

协同进化算法及在软测量建模中的应用

卜艳萍^1，2，俞金寿¹

1.华东理工大学自动化研究所，上海 200237
2.上海交通大学技术学院，上海 201101

通讯作者: 卜艳萍

Abstract

Abstract: A novel cooperative evolutionary algorithm（SAPSO） is proposed by taking advantage of both Particle Swarm Optimization（PSO） and Simulated Annealing（SA） algorithm.It can validly overcome the premature problem in PSO through cooperative search between PSO and SA.Then，SAPSO is employed to train artificial neural network and applied to soft-sensing of gasoline endpoint of delayed coking plant and melt-index of High Pressure Low-density Polyethylene yield.Its performance is compared with existing soft sensor modeling methods.The simulation results show that this model has higher measuring precision as well as better generalization ability，and can satisfy the need of spot measurement.

Key words: Particle Swarm Optimization（PSO） algorithm, Simulated Annealing（SA）, Neural Network（NN）, soft-sensor

摘要： 综合基本微粒群优化算法（Particle Swarm Optimization，PSO）和模拟退火（Simulated Annealing，SA）算法，提出了一种新型的协同进化方法（SAPSO）。通过PSO和SA两种算法的协同搜索，可以有效地克服微粒群算法的早熟收敛。用SAPSO训练神经网络，并将其用于延迟焦化装置粗汽油干点和高压聚乙烯熔融指数的软测量建模。与几种常见建模方法比较，结果表明该软测量模型具有更高的测量精度和更好的泛化性能，能够满足现场测量要求。

关键词: 微粒群优化算法, 模拟退火, 神经网络, 软测量

CLC Number:

TP273

BU Yan-ping^1，2，YU Jin-shou¹. Cooperative evolutionary algorithm and its application in soft sensor modeling[J]. Computer Engineering and Applications, 2009, 45(31): 241-244.

卜艳萍^1，2，俞金寿¹. 协同进化算法及在软测量建模中的应用[J]. 计算机工程与应用, 2009, 45(31): 241-244.

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Cooperative evolutionary algorithm and its application in soft sensor modeling

协同进化算法及在软测量建模中的应用

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