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A parametric approach for maximum flow problems with an additional reverse convex constraint

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Abstract

In this paper, we consider maximum integral flow problems with an additional reverse convex constraint involving one or two nonlinear variables. Based on a parametric approach, we propose a polynomial-time algorithm for computing an integral flow globally optimal to the problem with a single nonlinear variable. We extend this idea and solve the problem with two nonlinear variables. The algorithm solves a sequence of ordinary minimum cost flow problems by using a conventional method and yields a globally optimal solution in pseudo-polynomial time.

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References

  1. R.K. Ahuja, T.L. Magnanti and J.B. Orlin, Network Flows: Theory, Algorithms and Applications, Prentice-Hall, 1993.

  2. V. Chvătal, Linear Programming, Freeman, 1971.

  3. L.R. Ford and D.R. Fulkerson, Flows in Networks, Princeton University Press, 1962.

  4. T. Gal, Postoptimal Analyses, Parametric Programming, and Related Topics, McGraw-Hill, 1979.

  5. A.V. Goldberg and R.E. Tarjan, Finding minimum-cost circulations by cancelling negative cycles, Journal of ACM 36(1989)873–886.

    Google Scholar 

  6. G.M. Guisewite, Network problems, in: Handbook of Global Optimization, R. Horst and P.M. Pardalos, eds., Kluwer Academic, Dordrecht, 1995, pp. 609–648.

    Google Scholar 

  7. G.M. Guisewite and P.M. Pardalos, Minimum concave-cost network flow problems: Applications, complexity and algorithms, Annals of Operations Research 25(1990)75–100.

    Google Scholar 

  8. G.M. Guisewite and P.M. Pardalos, A polynomial time solvable concave network flow problem, Networks 23(1993)143–149.

    Google Scholar 

  9. R. Horst and P.M. Pardalos (eds.), Handbook of Global Optimization, Kluwer Academic, Dordrecht, 1995.

    Google Scholar 

  10. R. Horst and H. Tuy, Global Optimization: Deterministic Approaches, Springer, Berlin, 1990.

    Google Scholar 

  11. M. Iri, A new method of solving transportation network problems, Journal of the Operations Research Society of Japan 3(1960)27–87.

    Google Scholar 

  12. B. Klinz and H. Tuy, Minimum concave-cost network flow problems with a single nonlinear arc cost, in: Network Optimization Problems, Dungzhu Du and P.M. Pardalos, eds., World Scientific, Singapore, 1993, pp. 125–143.

    Google Scholar 

  13. T. Kuno and T. Utsunomiya, A decomposition algorithm for solving certain classes of production-transportation problems with concave production cost, Journal of Global Optimization 8(1996) 67–80.

    Google Scholar 

  14. T. Kuno and T. Utsunomiya, A primal-dual algorithm for globally solving a production-transportation problem with concave production cost, Technical Report ISE-TR–95–123, Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, 1995.

    Google Scholar 

  15. T. Kuno and T. Utsunomiya, Minimizing a linear multiplicative-type function under network flow constraints, Technical Report ISE-TR–95–124, Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, 1995, to appear in Operations Research Letters.

    Google Scholar 

  16. H. Tuy, N.D. Dan and S. Ghannadan, Strongly polynomial time algorithm for certain concave minimization problems on networks, Operations Research Letters 14(1993)99–109.

    Google Scholar 

  17. H. Tuy, S. Ghannadan, A. Migdalas and P. Värbrand, Strongly polynomial algorithms for a production-transportation problem with concave production cost, Optimization 27(1993)205–227.

    Google Scholar 

  18. H. Tuy, S. Ghannadan, A. Migdalas and P. Värbrand, The minimum concave cost network flow problems with fixed number of sources and nonlinear arc costs, Journal of Global Optimization 6(1995)135–151.

    Google Scholar 

  19. Y. Yajima and H. Konno, An algorithm for a concave production cost network flow problem, Research Report B-299, Department of Information Sciences, Tokyo Institute of Technology, Tokyo, 1995.

    Google Scholar 

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Kuno, T. A parametric approach for maximum flow problems with an additional reverse convex constraint. Annals of Operations Research 69, 261–276 (1997). https://doi.org/10.1023/A:1018937113330

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