C. Gutiérrez Vaquero, L. Huerga Pastor, E. Köbis, C. Tammer
In 1986, Wierzbicki introduced a new approach to deal with scalarization processes of vector optimization problems that focuses on the so-called order preserving and order representing properties instead of considering specific scalarization mappings. In this talk, Wierzbicki’s approach is extended to optimization problems whose image space is an arbitrary ordered set. The obtained results are applied to derive optimality conditions via scalarization in set-valued optimization problems with set order relations.
Palabras clave / Keywords: scalarization, order preserving mapping, order representing mapping, set-valued optimization, minimal solution, nondominated solution
Programado
Sesión GT11-4: Optimización Continua-4 (OPTIMIZACIÓN-4). Organizador: Javier Toledo Melero
29 de mayo de 2018 15:20
Sala 6