Characterizing strict efficiency for convex multiobjective programming problems

Characterizing strict efficiency for convex multiobjective programming problems

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Article ID: iaor20111378
Volume: 49
Issue: 2
Start Page Number: 265
End Page Number: 280
Publication Date: Feb 2011
Journal: Journal of Global Optimization
Authors: , ,
Keywords: programming: convex
Abstract:

The article pertains to characterize strict local efficient solution (s.l.e.s.) of higher order for the multiobjective programming problem (MOP) with inequality constraints. To create the necessary framework, we partition the index set of objectives of MOP to give rise to subproblems. The s.l.e.s. of order m for MOP is related to the local efficient solution of a subproblem. This relationship inspires us to adopt the D.C. optimization approach, the convex subdifferential sum rule, and the notion of ϵ‐subdifferential to derive the necessary and sufficient optimality conditions for s.l.e.s. of order m 1 equ1 for the convex MOP. Further, the saddle point criteria of higher order are also presented.

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