Selected Journal Papers

Selected Journal Papers

  • R. Jiang, M. Zhang, G. Li and Y. Guan. Two-stage network constrained robust unit commitment problem. European Journal of Operational Research, 234: 751–762, 2014. This paper is invited to be included inAdvances in Engineering,which offers readers the depth and breadth of breaking news about the latest scientific discoveries.
  • C. Zhao and Y. Guan. Unified Stochastic and Robust Unit Commitment. Accepted for publication, IEEE Transactions on Power Systems.
  • F. He, D. Wu, Y. Yin and Y. Guan. Optimal deployment of public charging stations for plug-in hybrid electric vehicles. Accepted for publication, Transportation Research Part B.
  • Q. Wang, J. Wang and Y. Guan. Stochastic unit commitment with uncertain demand response. Accepted for publication, IEEE Transactions on Power Systems.
  • Q. P. Zheng, J. Wang, P. M. Pardalos and Y. Guan. A decomposition approach to the two-stage stochastic unit commitment problem. Accepted for publication, Annals of Operations Research.
  • R. Jiang, J. Wang and Y. Guan. Robust unit commitment with wind power and pumped storage hydro. Accepted for publication, IEEE Transactions on Power Systems.
  • Q.Wang, Y. Guan and J.Wang. A chance-constrained two-stage stochastic program for unit commitment with uncertain wind power output. Accepted for publication, IEEE Transactions on Power Systems.
  • R. Jiang and Y. Guan. An O(N2) time algorithm for the stochastic uncapacitated lot-sizing problem with random lead times. Operations Research Letters. 39: 74-77. 2011.
  • Y. Hu, Y. Guan, and T. Liu. Lead-time hedging and coordination between manufacturing and sales departments using Nash and Stackelberg games. European Journal of Operational Research. 210:231-240, 2011.
  • Y. Guan and T. Liu. Stochastic economic lot-sizing with inventory bounds and order capacities. Accepted for publication, European Journal of Operational Research.
  • Y. Guan, K. H. Yang, and Z. Zhou. The crane scheduling problem: models and solution approaches. Accepted for publication, Annals of Operations Research.
  • Z. Zhou and Y. Guan. Stochastic Lot-sizing problem with deterministic demands and Wagner-Whitin costs. Accepted for publication. Operations Research Letters.
  • Y. Guan. Stochastic lot-sizing with backlogging: computational complexity analysis. Accepted for publication. Journal of Global Optimization.
  • Y. Guan, S. Ahmed and G. L. Nemhauser. Cutting planes for multi-stage stochastic integer programs. Operations Research, 57: 287-298, 2009.
  • Y. Guan and K. H. Yang. Analysis of berth allocation and inspection operations in a container terminal. Maritime Economics and Logistics. 12: 347-369, 2010.
  • Y. Guan and A. J. Miller. Polynomial time algorithms for stochastic uncapacitated lot-sizing problems. Operations Research. 56: 1172-1183, 2008.
  • Y. Guan, W. Yang, H. Owen and D. M. Blough. A pricing approach for bandwidth allocation in differentiated service networks. Computers and Operations Research. 35: 3769-3786, 2008.
  • Y. Guan, S. Ahmed and G. L. Nemhauser. Sequential pairing of mixed integer inequalities. Discrete Optimization. 4:21-39, 2007.
  • R. K. Cheung, D. Xu and Y. Guan. A solution method for a two-dispatch delivery problem with stochastic customers. Journal of Mathematical Modeling and Algorithms. 6:87-107, 2007.
  • Y. Guan, S. Ahmed, G. L. Nemhauser and A. J. Miller. A branch-and-cut algorithm for the stochastic uncapacitated lot-sizing problem. Mathematical Programming, Series A. 105:55-84, 2006.
  • Y. Guan, A. J. Miller, S. Ahmed and G. L. Nemhauser. On formulations of the stochastic uncapacitated lot-sizing problem. Operations Research Letters. 34:241-250, 2006.
  • S. Ahmed and Y. Guan. The inverse optimal value problem. Mathematical Programming, Series A. 102:91-110, 2005.
  • Y. Guan and R. K. Cheung. The berth allocation problem: models and solution methods. Operations Research Spectrum, 26:75-92, 2004.
  • Y. Guan, W. Q. Xiao, R. K. Cheung and C. L. Li. A multiprocessor task scheduling model for berth allocation: heuristic and worst-case analysis. Operations Research Letters, 30:343-350, 2002.