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Sufficient optimality conditions for semi-infinite multiobjective fractional programming under (Ф,ρ)-V-invexity and generalized (Ф,ρ)-V-invexity
Author(s) -
Tadeusz Antczak
Publication year - 2016
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil1614649a
Subject(s) - mathematics , convexity , fractional programming , class (philosophy) , mathematical optimization , parametric statistics , property (philosophy) , nonlinear programming , nonlinear system , computer science , statistics , financial economics , quantum mechanics , physics , epistemology , artificial intelligence , philosophy , economics
A new class of nonconvex smooth semi-infinite multiobjective fractional programming problems with both inequality and equality constraints is considered. We formulate and establish several parametric sufficient optimality conditions for efficient solutions in such nonconvex vector optimization problems under (Phi ,rho)-V-invexity and generalized (Phi ,rho)-V-invexity hypotheses. With the reference to the said functions we extend some results of efficiency for a larger class of nonconvex smooth semi-infinite multiobjective programming problems in comparison to those ones previously established in the literature under other generalized convex notions. Namely, we prove the sufficient optimality conditions for such nonconvex semi-infinite multiobjective fractional programming problems in which not all functions constituting them possess the fundamental property of convexity, invexity and most generalized convexity notions.

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