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 Computational approach to essential and nonessential objective functions in linear multicriteria optimization
Please use this identifier to cite or link to this item http://hdl.handle.net/10773/4138

title: Computational approach to essential and nonessential objective functions in linear multicriteria optimization
authors: Malinowska, A.B.
Torres, D.F.M.
keywords: Efficient (Pareto optimal) solutions
Essential/nonessential objective functions
Multiobjective optimization problems
issue date: 2008
publisher: Springer Verlag
abstract: The 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 functions. A certain objective function is called nonessential if the set of efficient solutions is the same with or without that objective function. We present two methods for determining nonessential objective functions. A computational implementation is done using a computer algebra system. © 2008 Springer Science+Business Media, LLC.
URI: http://hdl.handle.net/10773/4138
ISSN: 0022-3239
source: Journal of Optimization Theory and Applications
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