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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/733

Title: Generalized Scalarizing Problems GENS and GENSLex of Multicriteria Optimization
Authors: Vassileva, Mariyana
Keywords: Multicriteria Optimization
Interactive Methods
Multicriteria Decision Support Systems
Issue Date: 2006
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Generalized scalarizing problems, called GENS and GENSLex, for obtaining Pareto optimal solutions of multicriteria optimization problems are presented in the paper. The basic properties of these scalarizing problems are described. The existence of single-criterion problems with differentiable objective functions and constraints, which are equivalent to GENS and GENSLex scalarizing problems, are pointed out.
Description: * This paper is partially supported by the National Science Fund of Bulgarian Ministry of Education and Science under contract ā„– Iā€“1401\2004 "Interactive Algorithms and Software Systems Supporting Multicriteria Decision Making".
URI: http://hdl.handle.net/10525/733
ISSN: 1313-0463
Appears in Collections:Volume 13 Number 2

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