Abstract

We consider a class of nondifferentiable multiobjective programs with inequality and equality constraints in which each component of the objective function contains a term involving the support function of a compact convex set. We introduce G-Karush-Kuhn-Tucker conditions and G-Fritz John conditions for our nondifferentiable multiobjective programs. By using suitable G-invex functions, we establish G-Karush-Kuhn-Tucker necessary and sufficient optimality conditions, and G-Fritz John necessary and sufficient optimality conditions of our nondifferentiable multiobjective programs. Our optimality conditions generalize and improve the results in Antczak (2009) to the nondifferentiable case.

Highlights

  • Introduction and PreliminariesA number of different forms of invexity have appeared

  • Based on the paper by Mond and Schechter, Yang et al studied a class of nondifferentiable multiobjective programs. They replaced the objective function by the support function of a compact convex set, constructed a more general dual model for a class of nondifferentiable multiobjective programs, and established only weak duality theorems for efficient solutions under suitable weak convexity conditions

  • Antczak 13, 14 studied the optimality and duality for G-multi-objective programming problems. They defined a new class of differentiable nonconvex vector valued functions, namely, the vector G-invex G-incave functions with respect to η

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Summary

Introduction and Preliminaries

A number of different forms of invexity have appeared. In 1 , Martin defined Kuhn-Tucker invexity and weak duality invexity. Craven and Glover 5 established Kuhn-Tucker type optimality conditions for cone invex programs, and Jeyakumar and Mond 6 introduced the class of the so-called V-invex functions to proved some optimality for a class of differentiable vector optimization problems than under invexity assumption. Egudo 7 established some duality results for differentiable multiobjective programming problems with invex functions. Based on the paper by Mond and Schechter , Yang et al studied a class of nondifferentiable multiobjective programs. They replaced the objective function by the support function of a compact convex set, constructed a more general dual model for a class of nondifferentiable multiobjective programs, and established only weak duality theorems for efficient solutions under suitable weak convexity conditions.

Journal of Inequalities and Applications
Since x is a weak Pareto optimal point in NMP
Let A
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