A Computational Approach to Essential and Nonessential Objective Functions in Linear Multicriteria Optimization

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dc.creatorMalinowska, Agnieszka B.
dc.creatorTorres, Delfim F. M.
dc.date2007-06-08
dc.date.accessioned2026-07-07T10:15:58Z
dc.date.available2026-07-07T10:15:58Z
dc.descriptionThe question of obtaining well-defined criteria for multiple criteria decision making problems is well-known. One of the approaches dealing with this question is the concept of nonessential objective function. A certain objective function is called nonessential if the set of efficient solutions is the same both with or without that objective function. In this paper we put together two methods for determining nonessential objective functions. A computational implementation is done using a computer algebra system.
dc.descriptionTo be partially presented at the 23rd IFIP TC 7 International Conference on System Modelling and Optimization, Cracow, Poland, July 23-27, 2007. Work supported by KBN under Bialystok Technical University grant W/WI/17/07; and the R&D unit CEOC of the University of Aveiro through FCT and FEDER/POCI 2010
dc.identifierhttps://arxiv.org/abs/0706.1192
dc.identifierhttp://arxiv.org/abs/0706.1192
dc.identifierJ Optim Theory Appl (2008) 139: 577--590
dc.identifierdoi:10.1007/s10957-008-9397-z
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/173354
dc.subjectOptimization and Control
dc.subject90B50; 90C29
dc.titleA Computational Approach to Essential and Nonessential Objective Functions in Linear Multicriteria Optimization
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