Vector critical points and generalized quasi-efficient solutions in nonsmooth multi-objective programming. [PDF]
Wang Z, Li R, Yu G.
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A class of generalized invex functions and vector variational-like inequalities. [PDF]
Li R, Yu G.
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Semi-infinite multiobjective programming with generalized invexity
Motivated by important applications, the theory of mathematical programming has been extended to the case of infinitely many restrictions. At the same time, this theory knew remarcable developments since invexity and its further generalizations have been
Ferrara M. +2 more
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Role of exponential type random invexities for asymptotically sufficient efficiency conditions in semi-infinite multi-objective fractional programming. [PDF]
Verma RU, Seol Y.
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Higher-Order Duality for Multiobjective Programming Involving (Φ , ρ)-Invexity
[[abstract]]The concepts of ( Φ , ρ)-invexity have been given by Caristi, Ferrara and Stefanescu[32]. We consider a higher-order dual model associated to a multiobjective programming problem involving support functions and a weak duality result is ...
Deo Brat Ojha
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Integral inequalities under beta function and preinvex type functions. [PDF]
Ahmad I.
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Multiobjective variational programming under generalized (V, p)-B-type I functions [PDF]
In this paper, we generalize the (V, p)-invexity denned for nonsmooth multiobjective fractional programming by Mishra, Rueda and Giorgi (2003) to variational programming problems by defining new classes of vector- valued functions called (V, p)-B-type I ...
Enflo, P., Rueda, N., Khazafi, K.
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Second Order Duality in Multiobjective Fractional Programming with Square Root Term under Generalized Univex Function. [PDF]
Tripathy AK.
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Generalized Convexity and Invexity in Optimization Theory: Some New Results
Convex like properties, without vector space structure are intensively used in the minimax theory Since Ky Fan has proved the first minimax theorem for concave-convexlike functions, several authors have proposed other extensions or generalizations for ...
PUGLISI, ALFIO
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A sufficient condition for optimality in nondifferentiable invex programming [PDF]
In this paper sufficient optimality condition are established for a nonlinear programming problem without differentiability assumption on the data wherein Clarke's generalized gradient is used to define ...
Antczak, T.
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