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Computational risk management techniques for fixed charge network flow problems with uncertain arc failures

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Abstract

We consider a formulation for the fixed charge network flow (FCNF) problem subject to multiple uncertain arc failures, which aims to provide a robust optimal flow assignment in the sense of restricting potential losses using Conditional Value-at-Risk (CVaR). We show that a heuristic algorithm referred to as Adaptive Dynamic Cost Updating Procedure (ADCUP) previously developed for the deterministic FCNF problem can be extended to the considered problem under uncertainty and produce high-quality heuristic solutions for large problem instances. The reported computational experiments demonstrate that the described procedure can successfully tackle both the uncertainty considerations and the large size of the networks. High-quality heuristic solutions for problem instances with up to approximately 200,000 arcs have been identified in a reasonable time.

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References

  • Albert R, Albert I, Nakarado G (2004) Structural vulnerability of the North American power grid. Phys Rev E 69:025103

    Article  Google Scholar 

  • Atamturk A, Zhang M (2007) Two-stage robust network flow and design under demand uncertainty. Oper Res 55:662–673

    Article  MathSciNet  Google Scholar 

  • Balakrishnan A, Magnanti TL, Wong RT (1989) A dual-ascent procedure for large-scale uncapacitated network design. Oper Res 37:716–740

    Article  MathSciNet  MATH  Google Scholar 

  • Barr R, Glover F, Klingman D (1981) A new optimization method for large scale fixed charge transportation problems. Oper Res 29:448–463

    Article  MathSciNet  MATH  Google Scholar 

  • Boginski V, Commander C, Turko T (2009) Polynomial-time identification of robust network flows under uncertain arc failures. Optim Lett 3:461–473

    Article  MathSciNet  MATH  Google Scholar 

  • Cabot A, Erenguc S (1984) Some branch-and-bound procedures for fixed-cost transportation problems. Nav Res Logist Q 31:145–154

    Article  MathSciNet  MATH  Google Scholar 

  • Commander C, Pardalos PM, Ryabchenko V, Uryasev S (2006) The wireless network jamming problem. J Comb Optim 14:481–498

    Article  MathSciNet  Google Scholar 

  • Cooper L, Drebes C (1967) An approximate solution method for the fixed charge problem. Nav Res Logist Q 8:101–113

    Article  Google Scholar 

  • Costa AM (2005) A survey on benders decomposition applied to fixed-charge network. Comput Oper Res 32:1429–1450

    Article  MathSciNet  Google Scholar 

  • Cruz FRB, Smith JM, Mateus GR (1998) Solving to optimality the uncapacitated fixed-charge network flow problem. Comput Oper Res 25:67–81

    MathSciNet  MATH  Google Scholar 

  • Denzler D (1969) An approximate algorithm for the fixed charge problem. Nav Res Logist Q 16:411–416

    MATH  Google Scholar 

  • Geunes J, Pardalos PM (2003) Network optimization in supply chain management and financial engineering: an annotated bibliography. Networks 42:66–84

    Article  MathSciNet  MATH  Google Scholar 

  • Geunes J, Pardalos PM (2005) Supply chain optimization. Springer, Berlin

    Book  MATH  Google Scholar 

  • Gray P (1971) Exact solution for the fixed-charge transportation problem. Oper Res 19:1529–1538

    Article  MATH  Google Scholar 

  • Gupta A, Ravi R, Sinha A (2004) An edge in time saves nine: LP rounding approximation algorithms for stochastic network design. In: Proceedings of the 45th annual IEEE symposium on foundations of computer science, pp 218–227

    Chapter  Google Scholar 

  • Hewitt M, Nemhauser GL, Savelsbergh WP (2010) Combining exact and heuristic approaches for the capacitated fixed-charge network flow problem. INFORMS J Comput 22:314–325

    Article  MathSciNet  MATH  Google Scholar 

  • Hirsch WM, Dantzig GM (1968) The fixed charge problem. Nav Res Logist Q 15:413–424

    MathSciNet  MATH  Google Scholar 

  • Kennington JL, Unger V (1976) A new branch-and-bound algorithm for the fixed charge transportation problem. Manag Sci 22:1116–1126

    Article  MathSciNet  MATH  Google Scholar 

  • Kennington JL, Nicholson CD (2010) The uncapacitated time-space fixed-charge network flow problem: an empirical investigation of procedures for arc capacity assignment. INFORMS J Comput 22:326–337

    Article  MATH  Google Scholar 

  • Kim D, Pardalos PM (1999) A solution approach to the fixed charge network flow problem using a dynamic slope scaling procedure. Oper Res Lett 24:195–203

    Article  MathSciNet  MATH  Google Scholar 

  • Krokhmal PA (2007) Higher moment coherent risk measures. Quant Finance 7:1469–7688

    Article  MathSciNet  Google Scholar 

  • Krokhmal P, Palmquist J, Uryasev S (2002) Portfolio optimization with conditional value-at-risk objective and constraints. J Risk 4:11–27

    Google Scholar 

  • Murty KG (1968) Solving the fixed charge problem by ranking the extreme points. Oper Res 16:268–279

    Article  MATH  Google Scholar 

  • Nahapetyan A, Pardalos PM (2007) A bilinear relaxation based algorithm for concave piecewise linear network flow problems. J Ind Manag Optim 3:71–85

    Article  MathSciNet  MATH  Google Scholar 

  • Nahapetyan A, Pardalos PM (2008) Adaptive dynamic cost updating procedure for solving fixed charge network flow problems. Comput Optim Appl 39:37–50

    Article  MathSciNet  MATH  Google Scholar 

  • Nemhauser G, Wolsey GL (1999) Integer and combinatorial optimization. In: Series in discrete mathematics and optimization. Wiley-Interscience, New York

    Google Scholar 

  • Ortega F, Wolsey L (2003) A branch-and-cut algorithm for the single commodity uncapacitated fixed charge network flow problem. Networks 41:143–158

    Article  MathSciNet  MATH  Google Scholar 

  • Powell W (1986) Stochastic model of the dynamic vehicle allocation problem. Transp Sci 20:117–129

    Article  Google Scholar 

  • Rockafellar RT, Uryasev S (2002) Conditional value-at-risk for general loss distributions. J Bank Finance 26:1443–1471

    Article  Google Scholar 

  • Rockafellar RT, Uryasev S (2000) Optimization of conditional value-at-risk. J Risk 3:21–41

    Google Scholar 

  • Steinberg DI (1970) The fixed charge problem. Nav Res Logist Q 17:217–235

    Article  MATH  Google Scholar 

  • Tsamasphyrou P, Renaud A, Carpentier P (2000) Transmission network planning under uncertainty with Benders decomposition. In: Lecture notes in economics and mathematical systems, pp 457–468

    Google Scholar 

  • Ukkusuri S, Mathew T, Waller T (2007) Robust transportation network design under demand uncertainty. Comput-Aided Civ Infrastruct Eng 22:6–18

    Article  Google Scholar 

Download references

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Correspondence to Alexey Sorokin.

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This work was supported in part by the Department of Energy Office of Science and the Defense Threat Reduction Agency.

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Sorokin, A., Boginski, V., Nahapetyan, A. et al. Computational risk management techniques for fixed charge network flow problems with uncertain arc failures. J Comb Optim 25, 99–122 (2013). https://doi.org/10.1007/s10878-011-9422-2

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