4.6 Article

Optimality and duality for robust multiobjective optimization problems

Journal

NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
Volume 134, Issue -, Pages 127-143

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.na.2016.01.002

Keywords

Robust multiobjective optimization; Optimality condition; Duality; Limiting/Mordukhovich subdifferential; Generalized convexity

Funding

  1. UNSW Vice-Chancellor's Postdoctoral Research Fellowship [RG134608/SIR50]

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This paper deals with a robust multiobjective optimization problem involving nonsmooth/nonconvex real-valued functions. We establish necessary/sufficient optimality conditions for robust (weakly) Pareto solutions of the considered problem. These optimality conditions are presented in terms of multipliers and limiting subdifferentials of the related functions. In addition, we address a dual (robust) multiobjective problem to the primal one, and explore weak/strong duality relations between them under assumptions of (strictly) generalized convexity. (C) 2016 Elsevier Ltd. All rights reserved.

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