Interval Type-3 Fuzzy Adaptation of the Bee Colony Optimization Algorithm for Optimal Fuzzy Control of an Autonomous Mobile Robot

In this study, the first goal is achieving a hybrid approach composed by an Interval Type-3 Fuzzy Logic System (IT3FLS) for the dynamic adaptation of α and [Formula: see text] parameters of Bee Colony Optimization (BCO) algorithm. The second goal is, based on BCO, to find the best partition of the m...

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Detalles Bibliográficos
Autores principales: Amador-Angulo, Leticia, Castillo, Oscar, Melin, Patricia, Castro, Juan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503405/
https://www.ncbi.nlm.nih.gov/pubmed/36144113
http://dx.doi.org/10.3390/mi13091490

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9503405/
https://www.ncbi.nlm.nih.gov/pubmed/36144113
http://dx.doi.org/10.3390/mi13091490

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