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2015 | 44 | nr 1 | 19--45
Tytuł artykułu

Optimality Conditions in Multiobjective Programming Problems with Interval Valued Objective Functions

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We devote this paper to study of multiobjective programming problems with interval valued objective functions. For this, we consider two order relations LU and LS on the set of all closed intervals and propose several concepts of Pareto optimal solutions and generalized convexity. Based on generalized convexity (viz. LU and LS-pseudoconvexity) and generalized differentiability (viz. gH-differentiablity) of interval valued functions, the KKT optimality conditions for aforesaid problems are obtained. The theoretical development is illustrated by suitable examples. (original abstract)
Rocznik
Tom
44
Numer
Strony
19--45
Opis fizyczny
Twórcy
autor
  • King Fahd University of Petroleum and Minerals, Saudi Arabia
autor
  • Department of Applied Sciences, NITTTR (under Ministry of HRD of India)
  • Department of Applied Mathematics, Rajiv Gandhi Proudyogiki Vishwavidyalaya, India
Bibliografia
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  • CHALCO-CANO, Y., LODWICK, W.A., RUFIAN-LIZANA, A. (2013) Optimality conditions of type KKT for optimization problem with intervalvalued objective function via generalized derivative. Fuzzy Optim. Decis. Making (DOI 10.1007/s10700-013-9156-y).
  • CHALCO-CANO, Y., ROMAN-FLORES, H. (2008) On the new solution of fuzzy differential equations. Chaos, Solitons and Fractals 38, 112-119.
  • CHALCO-CANO, Y., ROMAN-FLORES, H., JIMENEZ-GAMERO, M. D. (2011) Generalized derivative and π-derivative for set valued functions. Inform. Sci. 181, 2177-2188.
  • De BLASI, F. S. (1976) On the differentiability of multifunctions. Paci. J. Maths 66, 67-91.
  • HOSSEINZADE, E., HASSANPOUR, H. (2011) The Karush-Kuhn-Tucker optimality conditions In interval-valued multiobjective programming problems. J. Appl. Math. Inform. 29, 5-6, 1157-1165.
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  • JAYSWAL, A., STANCU-MINASIAN, I., AHMAD, I. (2011) On sufficiency and duality for a class of interval-valued programming problems. Appl. Math. Comput. 218 (8), 4119-4127.
  • JIANG, C., HAN, X., LIU, G. R., LIU. G. P. (2008) A nonlinear interval number programming metod for uncertain optimization problems. Eur. J. Oper. Res. 188, 1-3.
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Bibliografia
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