Optimality conditions in quasidifferentiable vector optimization

DOI10.1007/s10957-016-0987-xzbMath1349.49017OpenAlexW2504226105WikidataQ59473447 ScholiaQ59473447MaRDI QIDQ346834

Tadeusz Antczak

Publication date: 30 November 2016

Published in: Journal of Optimization Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10957-016-0987-x

zbMATH Keywords

Pareto optimalityFritz John-type necessary optimality conditionsKarush-Kuhn-Tucker-type necessary optimality conditionsquasidifferentiable \(F\)-convexity with respect to a convex compact setquasidifferentiable multiobjective optimization problem

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Nonsmooth analysis (49J52)

Related Items (6)

On minty variational principle for quasidifferentiable vector optimization problems ⋮ Minimal Pairs of Convex Sets Which Share a Recession Cone ⋮ On quasidifferentiable mathematical programs with equilibrium constraints ⋮ Characterization of nonsmooth quasiconvex functions and their Greenberg-Pierskalla's subdifferentials using semi-quasidifferentiability notion ⋮ A New Constraint Qualification and Sharp Optimality Conditions for Nonsmooth Mathematical Programming Problems in Terms of Quasidifferentials ⋮ Semi-quasidifferentiability in nonsmooth nonconvex multiobjective optimization

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