Armand, P.; Malivert, C. Determination of the efficient set in multiobjective linear programming. (English) Zbl 0793.90064 J. Optimization Theory Appl. 70, No. 3, 467-489 (1991). Summary: This paper develops a method for finding the whole set of efficient points of a multiobjective linear problem. Two algorithms are presented; the first one describes the set of all efficient vertices and all efficient rays of the constraint polyhedron, while the second one generates the set of all efficient faces. The method has been tested on several examples for which numerical results are reported. Cited in 35 Documents MSC: 90C29 Multi-objective and goal programming 90C05 Linear programming Keywords:non-dominated faces; degeneracy; set of efficient points; multiobjective linear problem PDF BibTeX XML Cite \textit{P. Armand} and \textit{C. Malivert}, J. Optim. Theory Appl. 70, No. 3, 467--489 (1991; Zbl 0793.90064) Full Text: DOI References: [1] Zeleny, M.,Linear Multi-Objective Programming, Springer-Verlag, New York, New York, 1974. · Zbl 0325.90033 [2] Evans, J. P., andSteuer, R. E.,A Revised Simplex Method for Linear Multiple Objective Programs, Mathematical Programming, Vol. 5, pp. 54-72, 1973. · Zbl 0281.90045 [3] Steuer, R. E.,Multiple Criteria Optimization: Theory, Computation, and Applications, Wiley, New York, New York, 1986. · Zbl 0663.90085 [4] Isermann, H.,The Enumeration of the Set of All Efficient Solutions for a Linear Multiple Objective Program, Operational Research Quarterly, Vol. 28, pp. 711-725, 1977. · Zbl 0372.90086 [5] Ecker, J. G., andKouada, I. A.,Finding All Efficient Extreme Points for Multiple Objective Linear Programs, Mathematical Programming, Vol. 14, pp. 249-261, 1978. · Zbl 0385.90105 [6] Hartley, R.,Survey of Algorithms for Vector Optimization Problems in Multi-Objective Decision Making, Multi-Objective Decision Making, Edited by S. French, R. Hartley, L. C. Thomas, and D. J. White, Academic Press, New York, New York, 1983. [7] Ecker, J. G., Hegner, N. S., andKouada, I. A.,Generating All Maximal Efficient Faces for Multiple Objective Linear Programs, Journal of Optimization Theory and Applications, Vol. 30, pp. 353-381, 1980. · Zbl 0393.90087 [8] Gal, T.,A General Method for Determining the Set of All Efficient Solutions to a Linear Vector Maximum Problem, European Journal of Operational Research, Vol. 1, pp. 307-322, 1977. · Zbl 0374.90044 [9] Ziont, S., andWallenius, J.,Identifying Efficient Vectors: Some Theory and Computational Results, Operations Research, Vol. 28, pp. 785-793, 1980. · Zbl 0445.90079 [10] Philip, J.,Algorithms for the Vector Maximization Problem, Mathematical Programming, Vol. 2, pp. 207-229, 1973. · Zbl 0288.90052 [11] Dantzig, G. B.,Linear Programming and Extensions, Princeton University Press, Princeton, New Jersey, 1963. · Zbl 0108.33103 [12] Ecker, J. G., andKouada, I. A.,Finding Efficient Points for Linear Multiple Objective Problems, Mathematical Programming, Vol. 8, pp. 375-377, 1975. [13] Benson, H. P.,Finding an Initial Efficient Extreme Point for a Linear Multiple Objective Program, Journal of the Operational Research Society, Vol. 32, pp. 495-498, 1981. · Zbl 0454.90075 [14] Aho, A. V., Hopcroft, J. E., andUllman, J. D.,The Design and Analysis of Computer Algorithms, Addison-Wesley, Reading, Massachusetts, 1974. · Zbl 0326.68005 [15] Yu, P. L., andZeleny, M.,The Set of All Nondominated Solutions in Linear Cases and a Multicriteria Simplex Method, Journal of Mathematical Analysis and Applications, Vol. 49, pp. 430-468, 1975. · Zbl 0313.65047 [16] Ecker, J. G., andShoemaker, N. E.,Selecting Subsets from the Set of Nondominated Vectors in Multiple Objective Linear Programming, SIAM Journal on Control and Optimization, Vol. 19, pp. 505-515, 1981. · Zbl 0457.90072 [17] Gal, T.,On the Structure of the Set Basis of a Degenerate Point, Journal of Optimization Theory and Applications, Vol. 45, pp. 577-589, 1985. · Zbl 0542.90091 [18] Kruse, H. J.,Degeneracy Graphs and the Neighborhood Problem, Springer-Verlag, New York, New York, 1986. · Zbl 0587.90062 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.