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The Minimum Concave Cost Network Flow Problem with fixed numbers of sources and nonlinear arc costs

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Abstract

We prove that the Minimum Concave Cost Network Flow Problem with fixed numbers of sources and nonlinear arc costs can be solved by an algorithm requiring a number of elementary operations and a number of evaluations of the nonlinear cost functions which are both bounded by polynomials inr, n, m, wherer is the number of nodes,n is the number of arcs andm the number of sinks in the network.

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References

  1. Bellman, R.E. (1958), On a routing problem,Quart. Appl. Math. 16, 87–90.

    Google Scholar 

  2. Du, D.-Z. and P.M. Pardalos (eds.) (1993),Network Optimization Problems, World Scientific.

  3. Ericksson, R.E., C.L. Monma, and A.F. Veinott (1987), Send- and-split method for minimum concave-cost network flows,Mathematics for Operations Research 12, 634–664.

    Google Scholar 

  4. Florian, M. and P. Robillard (1971), An implicit enumeration algorithm for the concave cost network flow problem,Management Science 18, 184–193.

    Google Scholar 

  5. Fredman, M.L. and R.E. Tarjan (1984), Fibonaccy heaps and their uses in improved network optimization algorithms,Proc. 25th IEEE Sympos. Foundations Computer Sci, 338–346.

  6. Gallo, G., C. Sandi, and C, Sodini (1980), An algorithm for the min concave cost flow problem,European Journal of Operations Research 4, 248–259.

    Google Scholar 

  7. Gallo, G. and C. Sodini (1979), Adjacent extreme flows and applications to min concave-cost flow problems,Networks 9, 95–121.

    Google Scholar 

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

    Google Scholar 

  9. Guisewite, G. and P.M. Pardalos (1991), Algorithms for the single source uncapacitated minimum concave-cost network flow problem,Journal of Global Optimization 1, 245–265.

    Google Scholar 

  10. Guisewite, G. and P.M. Pardalos (1992), A polynomial time solvable concave network flow problem,Network 23, 143–147.

    Google Scholar 

  11. Guisewite, G. and P.M. Pardalos (1993), Complexity issues in nonconvex network flow problems, inComplexity in Numerical Optimization, ed. P.M. Pardalos, World Scientific, 163–179.

  12. Holmberg, K. and H. Tuy (1993), A production-transportation problem with stochastic demands and concave production costs, Preprint, Department of Mathematics, Linköping University. Submitted.

  13. Klinz, B. and H. Tuy (1993), Minimum concave-cost network flow problems with a single nonlinear arc cost, inNetwork Optimization Problems, eds. P.M. pardalos and D.-Z. Du, World Scientific, 125–143.

  14. Lenstra, H.W. Jr. (1983), Integer programming with a fixed number of variables,Mathematics of Operations Research 8, 538–548.

    Google Scholar 

  15. Minoux, M. (1989), Network synthesis and optimum network design problems: models, solution methods and applications,Networks 19, 313–360.

    Google Scholar 

  16. Nemhauser, G.L. and L.A. Wolsey (1988),Integer and Combinatorial Optimization, John Wiley & Sons, New York.

    Google Scholar 

  17. Pardalos, P.M. and S.A. Vavasis (1992), Open questions in complexity theory for nonlinear optimization,Math. Prog. 57, 337–339.

    Google Scholar 

  18. Tardos, E. (1985), A strongly polynomial minimum cost circulation algorithm,Combinatorika 5, 247–255.

    Google Scholar 

  19. Thach, P.T. (1987), A decomposition method for the min concave-cost flow problem with a special structure, Preprint, Institute of Mathematics, Hanoi.

    Google Scholar 

  20. Thach, P.T. (1991), A dynamic programming method for min concave-cost flow problems on circuitless single source uncapacitated networks, Preprint, Institute of Mathematics, Hanoi.

    Google Scholar 

  21. Tuy, H. (1992), The complementary convex structure in global optimization,Journal of Global Optimization 2, 21–40.

    Google Scholar 

  22. Tuy, H. and B.T. Tam (1992), An efficient solution method for rank two quasiconcave minimization problems,Optimization 24, 43–56.

    Google Scholar 

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

    Google Scholar 

  24. Tuy, H., S. Ghannadan, A. Migdalas, and P. Värbrand (1993), Strongly polynomial algorithm for a production-transportation problem with concave production cost,Optimization 27, 205–228.

    Google Scholar 

  25. Tuy, H., S. Ghannadan, A. Migdalas, and P. Värbrand (1993), Strongly polynomial algorithms for two special minimum concave-cost network flow problems,Optimization (to appear).

  26. Tuy, H., S. Ghannadan, A. Migdalas, and P. Värbrand (1993), Strongly polynomial algorithm for a production-transportation problem with a fixed number of nonlinear variables,Mathematical Programming (to appear).

  27. Veinott, A.F. (1969), Minimum concave-cost solution of Leontiev substitution models of multifacility inventory systems,Operations Research 17, 262–291.

    Google Scholar 

  28. Wagner, H.M., and T.M. Whitin (1959), Dynamic version of the economic lot size model,Management Science 5, 89–96.

    Google Scholar 

  29. Wallace, S.W. (1986), Decomposition of the requirement space of a transportation problem into polyhedral cones,Mathematical Programming 28, 29–47.

    Google Scholar 

  30. Zangwill, W.I. (1968), Minimum concave cost flows in certain networks,Management Science 14, 429–450.

    Google Scholar 

  31. Zangwill, W.I. (1969) A backlogging model and a multi-echelon model on a dynamic lot size production system—a network approach,Management Science 15, 509–527.

    Google Scholar 

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On leave from Institute of Mathematics, P.O. Box 631, Bo Ho, Hanoi, Vietnam.

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Tuy, H., Ghannadan, S., Migdalas, A. et al. The Minimum Concave Cost Network Flow Problem with fixed numbers of sources and nonlinear arc costs. J Glob Optim 6, 135–151 (1995). https://doi.org/10.1007/BF01096764

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  • DOI: https://doi.org/10.1007/BF01096764

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