Inferring Parameters of a Relational System of Preferences from Assignment Examples using an Evolutionary Algorithm

Inferring Parameters of a Relational System of Preferences from Assignment Examples using an Evolutionary Algorithm

Most evolutionary multi-objective algorithms perform poorly in many-objective problems. They normally do not make selective pressure towards the Region of Interest (RoI), the privileged zone in the Pareto frontier that contains solutions important to a DM. Several works have proved that a priori inc...

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Bibliografische gegevens
Hoofdauteur:	Fernández, Eduardo
Andere auteurs:	Sanchez Solis, Julia Patricia, Rivera Zarate, Gilberto
Formaat:	Artículo
Taal:	en_US
Gepubliceerd in:	2019
Onderwerpen:	decision making multi-objective optimization evolutionary algorithms parameter elicitation fuzzy preferences outranking methods info:eu-repo/classification/cti/1
Online toegang:	https://doi.org/10.3846/tede.2019.9475 https://journals.vgtu.lt/index.php/TEDE/article/view/9475
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