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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/3915

Title: Theory and Applications of Convex VSIO
Authors: Guerra-Vazquez, F.
Todorov, Maxim
Keywords: semi-infinite optimization
finitely many objective functions
vector optimization
Issue Date: 5-Nov-2020
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences, Association for the Development of the Information Society
Citation: Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, November, 2020, 114p-120p
Series/Report no.: ADIS;2020
Abstract: This presentation deals with vector semi-infinite optimization problems which are defined by finitely many objective functions whose variables belong to a finite-dimensional space and whose feasible sets are defined by infinitely many inequality constraints. The objective is to show several fields of applications of vector semi-infinite optimization as well as some theoretical results in convex vector semi-infinite optimization (characterization of solutions, necessary and sufficient optimality conditions).
Description: Report published in the Proceedings of the National Conference on "Education and Research in the Information Society", Plovdiv, November, 2020
URI: http://hdl.handle.net/10525/3915
ISSN: 2534-8663
Appears in Collections:ADIS 2020

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