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...
Bewaard in:
Hoofdauteur: | Rivera Zarate, Gilberto |
---|---|
Andere auteurs: | Castellanos, Alejandro, Cruz-Reyes, Laura, Fernández, Eduardo, Rangel-Valdez, Nelson, Gomez-Santillan, Claudia |
Formaat: | Artículo |
Taal: | English |
Gepubliceerd in: |
2022
|
Onderwerpen: | |
Online toegang: | https://doi.org/10.3390/math10030322 https://www.mdpi.com/2227-7390/10/3/322 |
Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|
Gelijkaardige items
-
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems
door: Rivera Zarate, Gilberto
Gepubliceerd in: (2023) -
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Gepubliceerd in: (2020) -
Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
door: Rivera Zarate, Gilberto
Gepubliceerd in: (2021) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
door: Rivera Zarate, Gilberto
Gepubliceerd in: (2021) -
Outranking-based multi-objective PSO for scheduling unrelated parallel
machines with a freight industry-oriented application
door: Rivera Zarate, Gilberto
Gepubliceerd in: (2021)