Abstract
This paper deals with multiobjective optimization programs in which the objective functions are ordered by their degree of priority. A number of approaches have been proposed (and several implemented) for the solution of lexicographic (preemptive priority) multiobjective optimization programs. These approaches may be divided into two classes. The first encompasses the development of algorithms specifically designed to deal directly with the initial model. Considered only for linear multiobjective programs and multiobjective programs with a finite discrete feasible region, the second one attempts to transform, efficiently, the lexicographic multiobjective model into an equvivalent model, i.e. a single objective programming problem. In this paper, we deal with the second approach for lexicographic nonlinear multiobjective programs.
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References
Behringer FA (1972) Lexicographic quasieoncave multiobjective programming. ZOR 21: 103–116
Bhushan M, Rengaswamy R (2004) Lexicographic optimization based sensor network design for Robust fault diagnosis. In: 7th international symposium on dynamics and control of process systems (DYCOPS). Cambridge, Massachusetts
Borwein JM (1977) Proper efficient points for maximization with respect to cones. SIAM J Control Optim 15: 57–63
Borwein JM, Zhuang D (1993) Super efficiency in vector optimization. Trans Am Math Soc 338: 105–122
Calvete HI, Mateo PM (1998) Lexicographic optimisation in generalised network flow problems. J Oper Res Soc 49: 519–529
Desaulniers G (2007) Managing large fixed costs in vehicle routing and crew scheduling problems solved by column generation. Comput Oper Res 34: 1221–1239
Ehrgott M (2005) Multicriteria optimization. Springer, Berlin
Erdoǧan G, Cordeau J, Laporte G (2010) A branch-and-cut algorithm for solving the non-preemptive capacitated swapping problem. Discret Appl Math 158(15): 1599–1614
Gascon V, Villeneuve S, Michelon P, Ferland JA (2000) Scheduling the flying squad nurses of a hospital using a multi-objective programming model. Ann Oper Res 96: 149–166
Geoffrion AM (1968) Proper efficiency and the theory of vector maximization. J Math Anal Appl 22: 616–630
Hartley R (1978) On cone efficiency, cone convexity and cone compactness. SIAM J Appl Math 34: 211–222
Hernández-Lerma O, Hoyos-Reyes LF (2001) A multiobjective control approach to priority queues. Math Methods Oper Res 53: 265–277
Ignizio JP (1976) Goal programming and extensions. Heath, Lexington
Ignizio JP, Thomas LC (1984) An enhanced conversion scheme for lexicographic, multiobjective integer programs. Eur J Oper Res 18: 57–61
Isermann H (1974) Proper efficiency and the linear vector maximum problem. Oper Res 22: 189–191
Isermann H (1982) Linear lexicographic optimization. OR Spektrum 4: 223–228
Jeyakumar V, Lee GM, Dinh N (2006) Characterizations of solution sets of convex vector minimization problems. Eur J Oper Res 174: 1380–1395
Khorram E, Zarepisheh M, Ghaznavi-ghosoni BA (2010) Sensitivity analysis on the priority of the objective functions in lexicographic multiple objective linear programs. Eur J Oper Res 207(3): 1162–1168
Mäkelä MM, Nikulin Y (2009) On cone characterizations of strong and lexicographic optimality in convex multiobjective optimization. J Optim Theory Appl 143: 519–538
Miettinen K (1999) Nonlinear multiobjective optimization. vol 12 of international series in operations research and management science. Kluwer Academic Publishers, Dordrecht
Miettinen K, Mäkelä MM (2001) On cone characterizations of weak, proper and Pareto optimality in multiobjective optimization. Math Methods Oper Res 53: 233–245
Nijkamp P (1980) Environmental policy analysis. Operational methods and models. Wiley, New York
Padhiyar N, Bhartiya S (2009) Profile control in distributed parameter systems using lexicographic optimization based MPC. J Process Control 19: 100–109
Pourkarimi L, Zarepisheh M (2007) A dual-based algorithm for solving lexicographic multiple objective programs. Eur J Oper Res 176: 1348–1356
Rentmeesters M (1998) A theory of multi-objective optimization: comprehensive KuhnTucker conditions for lexicographic and pareto optima. Ph.D. Dissertation, University of California, Irvine
Sawaragi Y, Nakayama H, Tanino T (1985) Theory of multiobjective optimization. Academic Press, Orlando
Sherali HD (1982) Equivalent weights for lexicographic multiobjective programs: characterization and computations. Eur J Oper Res 11: 367–379
Sherali HD, Soyster AL (1983) Preemptive and nonpreemptive multi-objective programming: relationships and counterexamples. J Optim Theory Appl 39: 173–186
Sun C, Ritchie SG, Tsai K, Jayakrishnan R (1999) Use of vehicle signature analysis and lexicographic optimization for vehicle reidentification on freeways. Transp Res Part C 7: 167–185
Turnovec F (1985) Lexicographic optimization problems in production scheduling optimization, theory, methods, applications, vol I. Dum Techniky CSVTS Praha, Prague, pp 295–306
Vada J, Slupphaug O, Johansen TA (2001) Optimal prioritized infeasibility handling in model predictive control: parametric preemptive multiobjective linear programming approach. J Optim Theory Appl 109: 385–413
Weber E, Rizzoli A, Soncini-Sessa R, Castelletti A (2002) Lexicographic optimisation for water resources planning: the case of Lake Verbano, Italy. In: Rizzoli A, Jakeman A (eds) Integrated assessment and decision support—proceedings of the first biennial meeting of the international environmental modelling and software society. Lugano, pp 235–240
Zheng XY (1997) Proper efficiency in locally convex topological vector spaces. J Optim Theory Appl 94: 469–486
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Zarepisheh, M., Khorram, E. On the transformation of lexicographic nonlinear multiobjective programs to single objective programs. Math Meth Oper Res 74, 217–231 (2011). https://doi.org/10.1007/s00186-011-0360-7
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DOI: https://doi.org/10.1007/s00186-011-0360-7