Abstract
In this paper, nonsmooth univex, nonsmooth quasiunivex, and nonsmooth pseudounivex functions are introduced. By utilizing these new concepts, sufficient optimality conditions for a weakly efficient solution of the nonsmooth multiobjective programming problem are established. Weak and strong duality theorems are also derived for Mond-Weir type multiobjective dual programs.
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References
Chinchuluun A and Pardalos P M, Mutiobjective programming problems under generalized convexity, Models and algorithms for global optimization (ed. by Torn A and Zilinskas J), Springer, Berlin, 2007, 4: 3–20.
Chinchuluun A, Pardalos P M, Migdalas A, and Pitsoulis L, Pareto Optimality, Game Theory, and Equilibria, Springer, 2008.
Long X J and Huang N J, Lipschitz B-preinvex functions and nonsmooth multiobjective programming, Pacific J. Optim., 2011, 7: 83–95.
Long X J and Peng J W, Semi-B-preinvex functions, J. Optim. Theory Appl., 2006, 131: 301–305.
Long X J and Quan J, Optimality conditions and duality for minimax fractional programming involving nonsmooth generalized univexity, Numer. Algebra, Control Optim., 2011, 1: 361–370.
Mishra S K and Giorgi G, Invexity and Optimization, Nonconvex Optimization and Its Applications, Vol. 88, Springer-verlag Berlin, Heidelberg, Germany, 2008.
Mishra S K, Wang S Y, and Lai K K, V-Invex Functions and Vector Optimization, Optimization and Its Applications, Vol. 14, Springer Science Business Media, New York, 2008.
Mishra S K, Wang S Y, and Lai K K, Generalized Convexity and Vector Optimization, Nonconvex Optimization and Its Applications, Vol. 90, Springer-verlag Berlin, Heidelberg, Germany, 2009.
Hanson M A, On sufficiency of the Kuhn-Tucker conditions, J. Math. Anal. Appl., 1981, 80: 545–550.
Reiland T W, Nonsmmoth invexity, Bull. Austral. Math. Soc., 1992, 41 437–446.
Clarke F H, Optimization and Nonsmooth Analysis, Wiley-Interscience, New York, 1983.
Lee G M, Nonsmooth invexity in multiobjective programming, J. Inform Optim. Sci., 1994, 15: 127–136.
Ye Y L, D-invexity and optimality conditions, J. Math. Anal. Appl., 1991, 162: 242–249.
Antczak T, Multiobjective programming under d-invexity, European J. Oper. Res., 2002, 137: 28–36.
Aghezzaf B and Hachimi M, Sufficient optimality conditions and duality in multiobjective optimization involving generalized convexity, Numer. Funct. Anal. Optim., 2001, 22: 775–788.
Jeyakumar V and Mond B, On generalized convex mathematical programming, J. Aust. Math. Soc. Ser. B, 1992, 34: 43–53.
Bector C R, Suneja S K, and Gupta S, Univex functions and univex nonlinear programming, Proceedings of the Aaministrative Scinences Association of Canada, 1992, 115–124.
Mishra S K, Wang S Y, and Lai K K, Nondifferentiable multiobjective programming under generalized d-univexity, European J. Oper. Res., 2005, 160: 218–226.
Antczak T, An η-approximation approach in nonlinear vector optimization with univex functions, Asia-Pacific J. Oper. Res., 2006, 23: 525–542.
Mond B and Weir T, Generalized Concavity and Duality, Generalized Concavity in Optimization and Economics (ed. by Schaible S and Ziemba W T), Academic Press, New York, 1981, 263–279.
Chandra S, Dutta J, and Lalitha C S, Regularity conditions and optimality in vector optimization, Numer. Funct. Anal. Optim., 2004, 25: 479–501.
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This research is supported by the National Natural Science Foundation of China under Grant No. 11001287, the Natural Science Foundation Project of Chongqing (CSTC 2010BB9254), the Education Committee Project Research Foundation of Chongqing under Grant No. KJ100711.
This paper was recommended for publication by Editor WANG Shouyang.
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Long, X. Sufficiency and duality for nonsmooth multiobjective programming problems involving generalized univex functions. J Syst Sci Complex 26, 1002–1018 (2013). https://doi.org/10.1007/s11424-013-1089-6
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DOI: https://doi.org/10.1007/s11424-013-1089-6