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 |
Author: | 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. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/4138 |
ISSN: | 0022-3239 |
Appears in Collections: | DMat - Artigos |
Files in This Item:
File | Description | Size | Format | |
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[093]JOTA_Basia.pdf | 320.08 kB | Adobe PDF |
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