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Journal of Applied Mathematics
Volume 2014, Article ID 317130, 7 pages
http://dx.doi.org/10.1155/2014/317130
Research Article

Modeling and Optimization of Beam Pumping System Based on Intelligent Computing for Energy Saving

1Department of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing 401331, China
2College of Electronic Engineering, Xi’an Shiyou University, Xi’an 710065, China
3College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China

Received 17 November 2013; Accepted 2 April 2014; Published 14 April 2014

Academic Editor: Olabisi Falowo

Copyright © 2014 Xiaohua Gu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Lun Gao, Xiao-hua Gu, Kan Wang, and Tai-fu Li, “Preference Driven Multi-objective Optimization of Beam Pumping Process,” 2015 8th International Symposium on Computational Intelligence and Design (ISCID), pp. 546–550, . View at Publisher · View at Google Scholar
  • Roger R.F. Araújo, and Samuel Xavier-De-Souza, “Parallel optimization of a simulation of dynamic behavior of directional sucker-rod pumping wells,” Proceedings of the 6th IASTED International Conference on Modelling, Simulation and Identification, MSI 2016, pp. 89–98, 2016. View at Publisher · View at Google Scholar
  • Kan Wang, Yan Li, Xiaohua Gu, Lun Gao, Taifu Li, and Wei Zhou, “The Intelligent Oil Extraction Auxiliary Decision Based on Evolution Model and Preference Driven Multi-objective Optimization,” Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, vol. 53, no. 13, pp. 159–169, 2017. View at Publisher · View at Google Scholar