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2024 | 34 | nr 2 | 163--182
Tytuł artykułu

A Steepest Feasible Direction Method for Linear Programming. Derivation and Embedding In the Simplex Method

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
A feasible direction method for linear programming has been proposed. The method is embedded in the framework of the simplex method, even though it works with non-edge feasible directions. The direction used is the steepest in the space of all variables or an approximation thereof, and it is found by solving a strictly convex quadratic program in the space of the nonbasic variables. Further, this program guarantees the feasibility of the direction even in the case of degeneracy. To remain within the simplex framework, the direction is represented by an auxiliary, or external, nonbasic column, which is a nonnegative linear combination of original nonbasic columns. We have made an experimental evaluation of the suggested method on both nondegenerate and highly degenerate problem instances. The overall results are very promising for continued research along this line, especially concerning various computational strategies that can be applied when the method is implemented. (original abstract)
Rocznik
Tom
34
Numer
Strony
163--182
Opis fizyczny
Twórcy
  • Linköping University, Sweden
  • Linköping University, Sweden
Bibliografia
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  • [7] Eiselt, H. A., and Sandblom, C.-L. Experiments with external pivoting. Computers and Operations Research 17, 4 (1990), 325-332.
  • [8] Fathi, Y., and Murty, K. G. Computational behavior of a feasible direction method for linear programming. European Journal of Operational Research 40, 3 (1989), 322-328.
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  • [10] Fukuda, K., and Terlaky, T. On the existence of a short admissible pivot sequence for feasibility and linear optimization problems. Pure Mathematics and Applications 10, 4 (1999), 431-447.
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  • [12] Gondzio, J. Another simplex-type method for large scale linear programming. Control and Cybernetics 25, 4 (1996), 739-760.
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  • [15] Larsson, T. On scaling linear programs-some experimental results. Optimization 27, 4 (1993), 355-373.
  • [16] Maros, I. Computational Techniques of the Simplex Method. Kluwer Academic Publishers, 2003.
  • [17] Mitra, G., Tamiz, M., and Yadegar, J. Experimental investigation of an interior search method within a simplex framework. Communications of the ACM 31, 12 (1988), 1474-1482.
  • [18] Murty, K. G. Linear Programming. 2nd edition. Wiley, 1983.
  • [19] Murty, K. G., and Fathi, Y. A feasible direction method for linear programming. Operations Research Letters 3, 3 (1984), 121-127.
  • [20] Wolde, B. C., and Larsson, T. A steepest feasible direction extension of the simplex method. In Operations Research Proceedings 2019, Selected Papers of the Annual International Conference of the German Operations Research Society (GOR), Dresden, Germany, September 4-6, 2019 (Cham, 2020), J. S. Neufeld, U. Buscher, R. Lasch, D. Möst, and J. Schönberger, Eds., Springer, pp. 113-121.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171694137

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