Publication:
The Stochastic Bottleneck Linear Programming Problem

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1997
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Facultad de Ciencias Económicas y Empresariales. Instituto Complutense de Análisis Económico (ICAE)
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In this paper we consider some stochastic bottleneck linear prograrnming problems. In the case when the coefficients of the objective functions are simple randomized, the minimum-risk approach will be used for solving these problems. We prove that, under some positivity conditions, these stochastic problems are reduced to certain deterministic bottleneck linear problems. Applications of these problems to the bottleneck spanning tree problems and bottleneck investment allocation problems are given. A simple numerical example is presented.
En este artículo se consideran algunos problemas de programación lineal estocástica "cuello de botella". Se utiliza la aproximación de mínimo-riesgo para el caso en que los coeficientes de las funciones objetivo de los problemas siguen aleatorización simple. Se demuestra que, bajo determinadas condiciones de positividad, estos problemas estocásticos se reducen a ciertos problemas lineales determinísticos "cuello de botella". Se dan dos aplicaciones de estos problemas y se presenta un ejemplo numérico.
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Achary, K.K. and C.R. Seshan (1981). A time minimising transportation problem with quantity dependent time. European J. Oper. Res. 7(3), 290-298. Achary, K.K., C.R. Seshan and V.G. Tikekar (1982).A generalized bottleneck linear programming problem. Indian J. Technol. 20, 5-9. Ahuja, R.K. (1985). Min max linear programming problem. Operations Research Letters 4, 131-134. Akgüll, M. (1984). On a minimax problem. Opsearch 21 (1), 30-37. Andersen, K.A., K. Jörnsten and M. Lind (1996). On bicriterion minimal spanning trees: An approximation. Computers and Operations Research 23 (12), 1171-1182. Bansal, S. and M.C. Puri (1980). A min max problem. Z. Operations Res. 24 (5), 191-200. Burkard, R.E. and F.Rendl (1991). Lexicographic bottleneck problems. Operations Research Letters 10,303-308. Chandrasekaran, R. (1977). Minimal ratio spanning trees. Networks 7(4), 335-342. Cheriton, D. and R.E. Tarjan (1976).Finding minimum spanning trees. SIAM J.Comput., 5(4),724-742. Emelichev, V.A., M.K. Kravtsov and O.A. Yanushkevich (1995). Conditions for Pareto optimality in a discrete vector problem on a system of subsets (Russian).Zh. Vychisl. Mat. i, Mat. Fiz. 35 (11),1641-1652. Ford, L.R. and D.R. Fulkerson (1962). Flows in Networks. Princeton Univ. Press, New Jersey. Francis, R.L. and J.A. White (1974).Facility Layout and Location: An Analytical Approach. Prentiee Hall, Englewood Cliffs, N.J. Frieze, A.M. (1975). Bottleneck linear programming, Opl. Res. Q. 26 (4),871-874. Gabow, H.N. and R.E. Tarjan (1988). Algorithm for two bottleneck optimization problems. J. Algorithms 9 (3), 411-417. Ganley, J.L. and J.S. Salome (1996). Optimal and approximate bottleneck Steiner trees. Operations Research Letters 19 (5), 217-224. Garfinkel, R.S.(1971).An improved algorithm for the bottleneck assignment problem. Operations Research 19, 1747-1751. Garfinkel, R.S., A.W. Neebe and M.R. Rao (1974). The m-center problem: bottleneck facility location. Working Paper Series No. 7414, Graduate School of Management, University of Rochester, Rochester, New York. Garfinkel, R.S. and G.L. Nemhauser (1970). Optimal political districting by implicit enumeration techniques. Management Sci. 16B,495-508. Garfinkel, R.S. and Rao,M. (1976). Bottleneck linear prograrnming. Math. Programming 11 (3), 291-298. Geetha, S. and K.P.K. Nair (1993). On stochastic spanning tree problem. Networks 23 (8), 675-679. Geetha,S. and M.N. Vartak (1994). The three-dimensional bottleneck assignment problem with capacity constraints. European J. Oper. Res. 73, 562-568. Gross, O. (1959). The bottleneck assignment problem. Paper P-1630, The RAND Corporation, Santa Monica, CA. Gupta, S.K. and A.K. Mittal (1982). A min-max problem as a linear prograrnming problem. Opsearch 19 (1),49-53. Gupta, S.K. and A.P. Punnen (1983). Minimax linear programmes with grouped variables. Opsearch 26 (3), 177-186. Hochbaum, D.S. and Pathria, A. (1996). The bottleneck graph partition problem. Networks,28 (4), 221-225. Ishii, H. and T. Matsutomi (1995). Confidence regional method of stochastic spanning tree problem. Math. Comput. Modelling 22 (10-12), 77-82. Ishii, H. and T. Nishida (1983). Stochastic bottleneck spanning tree problem. Networks 13, 443-449. Ishii, H., S. Shiode, T. Nishida and Y.Namasuya (1981). Stochastic spanning tree problem. Discrete Applied Mathematics 3, 263-273. Ishii, H., S. Shiode and T. Nishida (1981). Chance constrained spanning tree problem, J. Oper. Res. Soc. Japan 24 (2), 147-158. Kaplan, S. (1974). Applications of programs with maximin objective functions to problems of optimal resource allocation. Operations Research 22 (4),802-807. Mathur, K., S. Bansal and M.C. Puri (1993). Bicriteria bottleneck linear programming problem. Optimization 28 (2), 165-170. Mathur, K., M.C. Puri and S. Bansal (1995). On ranking of feasible solutions of a bottleneck linear programming problem. Top 3 (2) 265-283. Minoux, M. (1989). Solving combinatorial problems with min-max-min-sum objective and applications. Math. Programming 45 (2), 361-372. Mohd, I. B. (1994). Interval elimination method for stochastic spanning tree problem. Apphed Mathematics and Computation 66 (2-3) 325-341. Pferschy, U.(1995). The random linear bottleneck assignment problem. Integer programming and combinatorial optimization, 145-156. Lecture Notes in Comput. Sci., 920, Springer, Berlin. Pferschy, U. (1996). The random linear bottleneck: assignment problem. RAIRO Rech. Opér.30 (2), 127-142. Sarrafzadeh, M. and C.K. Wong (1992). Bottleneck Steiner trees in the plane.IEEE Transactions on Computers 41(3), 370-374. Seshan, C.R. and K.K. Achary (1982). On the boltleneck linear programming problem. European J. Oper. Res. 9, 347-352. Stancu-Minasian, I.M.(1984). Stochastic Programming with Multiple Objective Functions. Ed. Academic, Bucure§ti, Romania and D. Reidel Publishing Company, Dordrecht, Boston, Lancaster. Stancu-Minasian, I.M. (1997). Fractional Programming: Theory, Methods and Applications. Kluwer Academic Publishers, Dordrecht. Stancu-Minasian, I.M. and St. Tigan (1985). The minimum-risk approach to the bottleneck transportation problem. Itinerant Seminar on Functional Equations, Approximation and Convexity (Cluj-Napoca,1985), 203-208. Preprint 85-6, Univ. "Babe§-Bolyai", Cluj-Napoca. Stancu-Minasian, I.M. and St. Tigan (1990). On some fractional programming models ocurring in minimum-risk problems. In: Generalized Convexity and Fractional Programming with Economic Applicatíons. A. Cambini, E.Castagnoli, L. Martein, P.Mazzoleni and S. Schaible (eds.). Proceedings of the International Workshop on "Generalized Concavity, Fractional Programming and Economic Applications", held at the University of Pisa, Italy, May 30-June 1, 1988. Lecture Notes in Economics and Mathematical Systems, 345, Springer-Verlag, 295-324. Tigan, St. and Stancu-Minasian, I.M. (1983). Criteriul riscului minim pentru problema Cebi§ev. Lucrarile celui de-al IV-lea Simpozion "Modelarea cibernetica a proceselor de productie" 26-28 mai 1983. ASE-Bucure§ti, Vol. I, 338-342. Tigan, St. and I.M. Stancu-Minasian (1985). The stochastic bottleneck transportation problem. Anal. Numér. Théor. Approximation 14 (2), 153-158. Yang, Y.L. and S.W. Shen (1988). A generalization of a bottleneck problem (Chinese). J. Numer. Methods Comput. Appl. 9 (4), 214-218. Yao, A.C. (1975). An 0(|E| log log|V|) algorithm for finding minimum spanning trees. Information Processing Letters 4, 21-23. Yechiali, U. (1968). A stochastic bottleneck assignment problem. Management Sci. 14 (11), 732-734. Yechiali, U. (1971). A note on a stochastic production-maximizing transportation problem. Naval Res. Logist. Quart. 18 (3), 429-431.