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...
Kaydedildi:
Yazar: | Rivera Zarate, Gilberto |
---|---|
Diğer Yazarlar: | Castellanos, Alejandro, Cruz-Reyes, Laura, Fernández, Eduardo, Rangel-Valdez, Nelson, Gomez-Santillan, Claudia |
Materyal Türü: | Artículo |
Dil: | English |
Baskı/Yayın Bilgisi: |
2022
|
Konular: | |
Online Erişim: | https://doi.org/10.3390/math10030322 https://www.mdpi.com/2227-7390/10/3/322 |
Etiketler: |
Etiketle
Etiket eklenmemiş, İlk siz ekleyin!
|
Benzer Materyaller
-
An interactive ACO enriched with an eclectic multi-criteria ordinal classifier to address many-objective optimisation problems
Yazar:: Rivera Zarate, Gilberto
Baskı/Yayın Bilgisi: (2023) -
Hybrid evolutionary multi-objective optimisation using outranking-based ordinal classification methods
Baskı/Yayın Bilgisi: (2020) -
Metaheuristics for Order Picking Optimisation: A Comparison Among Three Swarm-Intelligence Algorithms
Yazar:: Rivera Zarate, Gilberto
Baskı/Yayın Bilgisi: (2021) -
Preference Incorporation into Many-Objective Optimization: An Ant Colony Algorithm based on Interval Outranking
Yazar:: Rivera Zarate, Gilberto
Baskı/Yayın Bilgisi: (2021) -
Outranking-based multi-objective PSO for scheduling unrelated parallel
machines with a freight industry-oriented application
Yazar:: Rivera Zarate, Gilberto
Baskı/Yayın Bilgisi: (2021)