Abstract
We present some complexity results on checking necessary efficiency in interval multiobjective linear programming. Supposing that objective function coefficients perturb within prescribed intervals, a feasible point x* is called necessarily efficient if it is efficient for all instances of interval data. We show that the problem of checking necessary efficiency is co-NP-complete even for the case of only one objective. Provided that x* is a non-degenerate basic solution, the problem is polynomially solvable for one objective, but remains co-NP-hard in the general case. Some open problems are mentioned at the end of the paper.
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References
Bitran G.R.: Linear multiple objective problems with interval coefficients. Manage. Sci. 26, 694–706 (1980)
Chinchuluun A., Pardalos P.M.: A survey of recent developments in multiobjective optimization. Ann. Oper. Res. 154, 29–50 (2007)
Ehrgott M.: Multicriteria Optimization, 2nd edn. Springer, Berlin (2005)
Fiedler M., Nedoma J., Ramík J., Rohn J., Zimmermann K.: Linear Optimization Problems with Inexact Data. Springer, New York (2006)
Floudas, C.A., Pardalos, P.M. (eds): Encyclopedia of Optimization, 2nd edn. Springer, New York (2009)
Hladík M.: Computing the tolerances in multiobjective linear programming. Optim. Methods Softw. 23(5), 731–739 (2008)
Hladík, M.: Interval Linear Programming: A survey. Technical report KAM-DIMATIA Series (2010-981), Department of Applied Mathematics, Charles University, Prague (2010)
Hladík, M.: On necessary efficient solutions in interval multiobjective linear programming. In: Antunes, C.H., Insua, D.R., Dias, L.C. (eds.) CD-ROM Proceedings of the 25th Mini-EURO Conference Uncertainty and Robustness in Planning and Decision Making URPDM 2010, April 15–17, Coimbra, Portugal, pp. 1–10 (2010)
Ida, M.: Necessary efficient test in interval multiobjective linear programming. In: Proceedings of the Eighth International Fuzzy Systems Association World Congress, pp 500–504. Taipei (August 1999)
Ida M.: Portfolio selection problem with interval coefficients. Appl. Math. Lett. 16(5), 709–713 (2003)
Ida M.: Solutions for the portfolio selection problem with interval and fuzzy coefficients. Reliab. Comput. 10(5), 389–400 (2004)
Inuiguchi M., Sakawa M.: Possible and necessary optimality tests in possibilistic linear programming problems. Fuzzy Sets Syst. 67(1), 29–46 (1994)
Inuiguchi M., Sakawa M.: Possible and necessary efficiency in possibilistic multiobjective linear programming problems and possible efficiency test. Fuzzy Sets Syst. 78(2), 231–241 (1996)
Koníčková, J.: Strong unboundedness of interval linear programming problems. In: Proceedings of the 12th GAMM–IMACS Symposium on Scientific Computing, Computer Artithmetic and Validated Numerics, SCAN 2006, p. 26. (2006)
Nožička F., Grygarová L., Lommatzsch K.: Geometrie konvexer Mengen und konvexe Analysis. Akademie-Verlag, Berlin (1988)
Oliveira C., Antunes C.H.: Multiple objective linear programming models with interval coefficients—an illustrated overview. Eur. J. Oper. Res. 181(3), 1434–1463 (2007)
Oliveira C., Antunes C.H.: An interactive method of tackling uncertainty in interval multiple objective linear programming. J. Math. Sci. 161(6), 854–866 (2009)
Padberg M.: Linear optimization and extensions, 2nd edn. Springer, Berlin (1999)
Pardalos, P.M. (ed.) Approximation and complexity in numerical optimization. Continuous and discrete problems. In: Nonconvex Optimization and Its Applications, vol. 42. Kluwer, Dordrecht (2000)
Rockafellar R.T., Wets R.J.-B.: Variational Analysis. Corr. 2nd print. Springer, Berlin (2004)
Rohn J.: Linear programming with inexact data is NP-hard. Z. Angew. Math. Mech. (ZAMM) 78(Supplement 3), S1051–S1052 (1998)
Rohn J.: Computing the norm ||A||∞,1 is NP-hard. Linear Multilinear Algebra 47(3), 195–204 (2000)
Schrijver A.: Theory of Linear and Integer Programming. Repr. Wiley, Chichester (1998)
Wang, H.-F., Wang M.-L.: Decision analysis of the interval-valued multiobjective linear programming problems. In: Köksalan, M., Zionts, S. (eds.) Multiple criteria decision making in the new millennium. Lect. Notes Econ. Math. Syst., vol. 507, pp. 210–218. Springer, Berlin (2001)
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Hladík, M. Complexity of necessary efficiency in interval linear programming and multiobjective linear programming. Optim Lett 6, 893–899 (2012). https://doi.org/10.1007/s11590-011-0315-1
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DOI: https://doi.org/10.1007/s11590-011-0315-1