invexity and non-smooth multiobjective programming
D. Bhatia, Pankaj Kumar Garg (1998)
RAIRO - Operations Research - Recherche Opérationnelle
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Displaying similar documents to “Second order optimality conditions for differentiable multiobjective problems”
invexity and non-smooth multiobjective programming
On constraint qualifications in directionally differentiable multiobjective optimization problems
Giorgio Giorgi, Bienvenido Jiménez, Vincente Novo (2004)
RAIRO - Operations Research - Recherche Opérationnelle
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We consider a multiobjective optimization problem with a feasible set defined by inequality and equality constraints such that all functions are, at least, Dini differentiable (in some cases, Hadamard differentiable and sometimes, quasiconvex). Several constraint qualifications are given in such a way that generalize both the qualifications introduced by Maeda and the classical ones, when the functions are differentiable. The relationships between them are analyzed. Finally, we give...
A second order -approximation method for constrained optimization problems involving second order invex functions
Tadeusz Antczak (2009)
Applications of Mathematics
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A new approach for obtaining the second order sufficient conditions for nonlinear mathematical programming problems which makes use of second order derivative is presented. In the so-called second order -approximation method, an optimization problem associated with the original nonlinear programming problem is constructed that involves a second order -approximation of both the objective function and the constraint function constituting the original problem. The equivalence between...
Linear optimization with multiple equitable criteria
Michael M. Kostreva, Włodzimierz Ogryczak (1999)
RAIRO - Operations Research - Recherche Opérationnelle
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LFS functions in multi-objective programming
Luka Neralić, Sanjo Zlobec (1996)
Applications of Mathematics
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We find conditions, in multi-objective convex programming with nonsmooth functions, when the sets of efficient (Pareto) and properly efficient solutions coincide. This occurs, in particular, when all functions have locally flat surfaces (LFS). In the absence of the LFS property the two sets are generally different and the characterizations of efficient solutions assume an asymptotic form for problems with three or more variables. The results are applied to a problem in highway construction,...