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Optimality conditions and duality in multiple objective programming involving semilocally convex and related functions
Abstract:A nonlinear multiple objective programming problem is considered where the functions involved are nondifferentiable. By considering the concept of weak minima, the Fritz John type and Karush-Kuhn- Tucker type necessary optimality conditions and Wolfe and Mond-Weir type duality results are given in terms of the right differentials of the functions. The duality results are stated by using the concepts of generalized semilocally convex functions
Keywords:Multiple Objective Programming  Weak Minimum  Optimality Conditions  Duality  Generalized Convex Functions
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