Abstract
In this work the problem of maximizing a nonlinear objective over the set of efficient solutions of a multicriteria linear program is considered. This is a nonlinear program with nonconvex constraints. The approach is to develop an active constraint algorithm which utilizes the fact that the efficient structure in decision space can be associated in a natural way with hyperplanes in the space of objective values. Examples and numerical experience are included.
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References
Benson HP (1984) Optimization over the efficient set. J Math Anal Appl 98:562–580
Chankong V, Haimes YY (1983) Multiobjective Decision Making: Theory and Methodology. North-Holland Publishers, Amsterdam
Dauer JP (1980) An equivalence result for solutions of multiobjective linear programs. Comp Options Res 7:33–39
Dauer JP (1987) Analysis of the objective space in multiple objective linear programming. J Math Anal and Appl 126:579–593
Dauer JP, Krueger RJ (1980) A multiobjective optimization model for water resources planning. Appl Math Modelling 4:171–175
Dauer JP, Liu Y-H (1990) Solving multiple objective linear programs in objective space. Eur J Oper Res 46:350–357
Dauer JP, Saleh OA (1990) Constructing the set of efficient objective values in multiple objective linear programs. Eur J Oper Res 46:358–365
Dauer JP, Saleh OA (1989) A representation of the set of feasible objetives in multiple objective linear programs. Lin Alg and Appl, to appear
Dessouky M, Ghiassi M, Davis W (1986) Estimates of the minimum nondominated criterion values in multiple-criteria decision-making. Eng Costs Prod Econ 10:95–104
Ecker JG, Kouada IA (1975) Finding efficient points for linear multiple objective programs. Math Progr 8:373–377
Ecker JG, Hegner NS (1978) On computing an initial efficient extreme point. J Oper Res Soc 29:1005–1007
Ecker JG, Hegner NS, Kouada IA (1980) Generating all maximal efficient faces for multiple objective linear programs. J Optim Theory Appl 30:353–381
Fletcher R (1987) Practical methods of Optimization. Wiley, New York
Gill PE, Murray W (eds) (1974) Numerical Methods for Constrained Optimization. Academic Press, New York
Gill PE, Murray W (1978a) Modification of matrix factorizations after rank-one change. In: Jacobs DAH (ed) The State of the Art in Numerical Analysis. Academic Press, London
Gill PE, Murray W (1978b) Numerically stable methods for quadratic programming. Math Progr 14:349–372
Gill PE, Murray W, Saunders MA, Wright MH (1984) Sparse matrix methods in optimization. SIAM J Scient and Statistic Computing 5:562–589
Gill PE, Murray W, Saunders MA, Wright MH (1989) Constrained nonlinear programming. In: Nemhauser GL, Rinnooy Kan AHG, Todd MJ (eds) Optimization. Handbooks in Operations Research and Management Science. Vol 1. North Holland, New York, 171–210
Hwang CL, Masud ASM (1979) Multiple Objective Decision Making and Applications. Springer, New York
Isermann H, Steuer R (1987) Computational experience concerning payoff tables and minimum criterion values over the efficient set. Eur J Oper Res 33:91–97
Keeney RL, Raiffa H (1975) Decision with Multiple Objectives: Preferences and Value Tradeoffs. Wiley, New York
McCormick GP (1972) Attempts to calculate global solutions of problems that may have local minima. In: Lootsma FA (ed) Numerical Methods for Nonlinear Optimization. Academic Press, New York, pp 209–221
Murray W, Wright MH (1982) Computation of the search direction in constrained optimization algorithms. Math Progr Study 16:62–83
Murtagh BA, Saunders MA (1978) Large-scale linearly constrained optimization. Math Progr 14:41–72
Philip J (1972) Algorithms for the vector-maximization problem. Math Prog 2:459–467
]Ratschek H, Rokne J (1988) New Computer Methods for Global Optimization. Halsted Press, New York
Reeves G, Reid R (1988) Minimum values over the efficient set in multiple objective decision making. Eur J Oper Res 36:334–338
Rhode R, Weber R (1984) The range of the efficient frontier in multiple objective linear programming. Math Prog 28:84–95
Rockafellar RT (1970) Convex Analysis. Princeton University Press, Princeton, NJ
Sawaragi Y, Nakayama H, Tanino (1985) Theory of Multiobjective Optimization. Academic Press, New York
Schittowski K (1988) Solving constrained nonlinear least squares problems by a general purpose SQP-method. In: Hoffmann K-H, Hiriart-Urruty J-B, Lemarechal C, Zowe J (eds) Trends in Mathematical Optimization. Birkhauser Verlag, Boston, pp 295–309
Steuer R (1986) Multiple Criteria Optimization. Wiley, New York
Weistroffer HR (1985) Careful usage of pessimistic values is needed in multiple objective optimization. Oper Res Letters 4/1:23–25
White DJ (1982) Optimality and Efficiency. Wiley, New York
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Dauer, J.P. Optimization over the efficient set using an active constraint approach. ZOR - Methods and Models of Operations Research 35, 185–195 (1991). https://doi.org/10.1007/BF01415906
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DOI: https://doi.org/10.1007/BF01415906