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Science and Technology of Nuclear Installations
Volume 2014, Article ID 286826, 9 pages
http://dx.doi.org/10.1155/2014/286826
Research Article

PSO Based Optimization of Testing and Maintenance Cost in NPPs

1Software Development Center, State Nuclear Power Technology Corporation, Beijing 102209, China
2School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Received 11 July 2014; Revised 13 November 2014; Accepted 13 November 2014; Published 9 December 2014

Academic Editor: Alejandro Clausse

Copyright © 2014 Qiang Chou 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 [1 citation]

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

  • Daochuan Ge, Shanqi Chen, Zhen Wang, and Yanhua Yang, “Particle swarm evolutionary computation-based framework for optimizing the risk and cost of low-demand systems of nuclear power plants,” Journal of Nuclear Science and Technology, pp. 1–10, 2017. View at Publisher · View at Google Scholar