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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Bibliographic Details
Main Authors: Alejandro Castellanos, Laura Cruz-Reyes, Eduardo Fernández, Gilberto Rivera, Claudia Gomez-Santillan, Nelson Rangel-Valdez
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Mathematics
Subjects:
preference incorporation
ant colony optimisation
grey wolf optimisation
interval outranking
multi-criteria decision analysis
Online Access:https://www.mdpi.com/2227-7390/10/3/322

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https://www.mdpi.com/2227-7390/10/3/322

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