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The Scientific World Journal
Volume 2015, Article ID 742541, 10 pages
http://dx.doi.org/10.1155/2015/742541
Research Article

A Novel Biobjective Risk-Based Model for Stochastic Air Traffic Network Flow Optimization Problem

1School of Electronics and Information Engineering, Beihang University, Beijing 100191, China
2National Key Laboratory of CNS/ATM, Beijing 100191, China
3Aviation Data Communication Corporation, Beijing 100191, China

Received 5 December 2014; Accepted 9 January 2015

Academic Editor: Kemao Peng

Copyright © 2015 Kaiquan Cai 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 [4 citations]

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

  • Kaiquan Cai, Wei Li, Fei Ju, and Xi Zhu, “A scenario-based optimization approach to robust estimation of airport apron capacity,” 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS), pp. 3A1-1–3A1-8, . View at Publisher · View at Google Scholar
  • Wenhao Wu, Xuejun Zhang, Kaiquan Cai, and Wei Li, “A dynamic adaptive NSGA-II algorithm for sector network flight flow optimization,” 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS), pp. 3F2-1–3F2-8, . View at Publisher · View at Google Scholar
  • Mingming Xiao, Kaiquan Cai, Florian Linke, Mingming Xiao, Kaiquan Cai, and Florian Linke, “An Evolutionary Multi-objective Approach for Stochastic Air Traffic Network Flow Optimization,” 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 2059–2065, . View at Publisher · View at Google Scholar
  • Vasil Sgurev, “Optimal Control of Technological Innovations in Post-conflict Regions by Minimization of Admissible Network Investments and Risks,” IFAC-PapersOnLine, vol. 48, no. 24, pp. 49–53, 2015. View at Publisher · View at Google Scholar