Sufficient Second Order Optimality Conditions for C^1 Multiobjective Optimization Problems
| Data(s) |
17/06/2012
17/06/2012
2003
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|---|---|
| Resumo |
2000 Mathematics Subject Classification: Primary 90C29; Secondary 90C30. In this work, we use the notion of Approximate Hessian introduced by Jeyakumar and Luc [19], and a special scalarization to establish sufficient optimality conditions for constrained multiobjective optimization problems. Throughout this paper, the data are assumed to be of class C^1, but not necessarily of class C^(1.1). |
| Identificador |
Serdica Mathematical Journal, Vol. 29, No 3, (2003), 225p-238p 1310-6600 |
| Idioma(s) |
en |
| Publicador |
Institute of Mathematics and Informatics Bulgarian Academy of Sciences |
| Palavras-Chave | #Approximate Hessian Matrix #Recession Matrices #Sufficient Second Order Optimality Conditions #Support Functions #Multiobjective Optimization |
| Tipo |
Article |
