Skip to main content
Log in

A Finite Branch-and-Bound Algorithm for Linear Multiplicative Programming

  • Published:
Computational Optimization and Applications Aims and scope Submit manuscript

Abstract

On the basis of Soland's rectangular branch-and-bound, we develop an algorithm for minimizing a product of p (≥2) affine functions over a polytope. To tighten the lower bound on the value of each subproblem, we install a second-stage bounding procedure, which requires O(p) additional time in each iteration but remarkably reduces the number of branching operations. Computational results indicate that the algorithm is practical if p is less than 15, both in finding an exact optimal solution and an approximate solution.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. A.V. Aho, J.E. Hopcroft, and J.D. Ullman, Data Structures and Algorithms, Addison-Wesley: Reading, MA 1983.

    Google Scholar 

  2. M. Avriel, W.E. Diewert, S. Schaible, and I. Zang, Generalized Convexity, Plenum Press: New York, 1988.

    Google Scholar 

  3. E. Balas and E. Zemel, “An algorithm for large zero-one knapsack problems, ” Operations Research, vol. 28, pp. 1130–1154, 1980.

    Google Scholar 

  4. H.P. Benson, “An outcome space branch and bound-outer approximation algorithm for convex multiplicative programming, ” Journal of Global Optimization, vol. 15, pp. 315–342, 1999.

    Google Scholar 

  5. H.P. Benson and G.M. Boger, “Multiplicative programming problems: Analysis and efficient point search heuristic, ” Journal of Optimization Theory and Applications, vol. 94, pp. 487–510, 1997.

    Google Scholar 

  6. V. Chvătal, Linear Programming, W.H. Freeman: New York, 1983.

    Google Scholar 

  7. G.B. Dantzig, “Discrete variable extremum problems, ” Operations Research, vol. 5, pp. 266–277, 1957.

    Google Scholar 

  8. J.E. Falk and S.W. Palocsay, “Image space analysis of generalized fractional programs, ” Journal of Global Optimization, vol. 4, pp. 63–88, 1994.

    Google Scholar 

  9. J.E. Falk and R.M. Soland, “An algorithm for separable nonconvex programming problems, ” Management Science, vol. 15, pp. 550–569, 1969.

    Google Scholar 

  10. G.M. Guisewite and P.M. Pardalos, “Minimum concave-cost network flow problems: Applications, complexity and algorithms, ” Annals of Operations Research, vol. 25, pp. 75–100, 1990.

    Google Scholar 

  11. M. Geoffrion, “Solving bicriterion mathematical programs, ” Operations Research, vol. 15, pp. 39–54, 1967.

    Google Scholar 

  12. J.M. Henderson and R.E. Quandt, Microeconomic Theory, McGraw-Hill: New York, 1971.

    Google Scholar 

  13. R. Horst and H. Tuy, Global Optimization: Deterministic Approaches, 2nd ed. Springer-Verlag: Berlin, 1993.

    Google Scholar 

  14. H. Konno and T. Kuno, “Linear multiplicative programming, ” Mathematical Programming, vol. 56, pp. 51–64, 1992.

    Google Scholar 

  15. H. Konno and T. Kuno, “Multiplicative programming problems, ” in Handbook of Global Optimization, R. Horst and P.M. Pardalos (Eds.), Kluwer Academic Publishers: Dordrecht, 1995, pp. 369–405.

    Google Scholar 

  16. H. Konno, T. Kuno, and Y. Yajima, “Parametric simplex algorithms for a class of NP-complete problems whose average number of steps is polynomial, ” Computational Optimization and Applications, vol. 1, pp. 227–239, 1992.

    Google Scholar 

  17. H. Konno, P.T. Thach, and H. Tuy, Optimization on Low Rank Nonconvex Structures, Kluwer Academic Publishers: Dordrecht, 1997.

    Google Scholar 

  18. H. Konno and H. Watanabe, “Bond portfolio optimization problems and their applications to index tracking: A partial optimization approach, ” Journal of Operations Research Society of Japan, vol. 39, pp. 295–306, 1996.

    Google Scholar 

  19. H. Konno, Y. Yajima, and T. Matsui, “Parametric simplex algorithms for solving a special class of nonconvex minimization problems, ” Journal of Global Optimization, vol. 1, pp. 65–81, 1991.

    Google Scholar 

  20. T. Kuno, “Globally determining a minimum-area rectangle enclosing the projection of higher-dimensional set, ” Operations Research Letters, vol. 13, pp. 295–303, 1993.

    Google Scholar 

  21. T. Kuno, Y. Yajima, and H. Konno, “An outer approximation method for minimizing the product of several convex functions on a convex set, ” Journal of Global Optimization, vol. 3, pp. 325–335, 1993.

    Google Scholar 

  22. X.J. Liu, T. Umegaki, and Y. Yamamoto, “Heuristic methods for linear multiplicative programming, ” Journal of Global Optimization, vol. 15, pp. 433–447, 1999.

    Google Scholar 

  23. T. Matsui, “NP-hardness of linear multiplicative programming and related problems, ” Journal of Global Optimization, vol. 9, pp. 113–119, 1996.

    Google Scholar 

  24. H.S. Ryoo and N.V. Sahinidis, “A branch-and-reduce approach to global optimization, ” Journal of Global Optimization, vol. 8, pp. 107–138, 1996.

    Google Scholar 

  25. S. Schaible and C. Sodini, “Finite algorithm for generalized linear multiplicative programming, ” Journal of Optimization Theory and Applications, vol. 87, pp. 441–455, 1995.

    Google Scholar 

  26. R.M. Soland, “Optimal facility location with concave costs, ” Operations Research, vol. 22, pp. 373–382, 1974.

    Google Scholar 

  27. K. Swarup, “Programming with indefinite quadratic function with linear constraints, ” Cahiers du d' Études de Recherche Opérationnelle, vol. 8, pp. 132–136, 1966.

    Google Scholar 

  28. N.V. Thoai, “A global optimization approach for solving the convex multiplicative programming problem, ” Journal of Global Optimization, vol. 1, pp. 341–357, 1991.

    Google Scholar 

  29. H. Tuy, “Polyhedral annexation, dualization and dimension reduction technique in global optimization, ” Journal of Global Optimization, vol. 1, pp. 229–244, 1991.

    Google Scholar 

  30. H. Tuy and B.T. Tam, “An efficient solution method for rank two quasiconcave minimization problems, ” Optimization, vol. 24, pp. 43–56, 1992.

    Google Scholar 

Download references

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kuno, T. A Finite Branch-and-Bound Algorithm for Linear Multiplicative Programming. Computational Optimization and Applications 20, 119–135 (2001). https://doi.org/10.1023/A:1011250901810

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1011250901810

Navigation