Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation

Hybridisation of Swarm Intelligence Algorithms with Multi-Criteria Ordinal Classification: A Strategy to Address Many-Objective Optimisation

This paper introduces a strategy to enrich swarm intelligence algorithms with the preferences of the Decision Maker (DM) represented in an ordinal classifier based on interval outranking. Ordinal classification is used to bias the search toward the Region of Interest (RoI), the privileged zone of th...

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Bibliografiske detaljer
Hovedforfatter:	Rivera Zarate, Gilberto
Andre forfattere:	Castellanos, Alejandro, Cruz-Reyes, Laura, Fernández, Eduardo, Rangel-Valdez, Nelson, Gomez-Santillan, Claudia
Format:	Artículo
Sprog:	English
Udgivet:	2022
Fag:	preference incorporation ant colony optimisation grey wolf optimisation interval outranking multi-criteria decision analysis info:eu-repo/classification/cti/1
Online adgang:	https://doi.org/10.3390/math10030322 https://www.mdpi.com/2227-7390/10/3/322
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