An Improved Bee Colony Optimization Algorithm Using a Sugeno–Takagi Interval Type-2 Fuzzy Logic System for the Optimal Design of Stable Autonomous Mobile Robot Controllers

This study proposes an enhanced Sugeno–Takagi interval type-2 fuzzy logic system (SIT2FLS) to find the best values for two important parameters in Bee Colony Optimization (BCO). The aim of this study was to develop a stable controller for a mobile robot utilizing BCO in the fuzzy controller and to d...

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Vydané v:	Symmetry (Basel) Ročník 17; číslo 5; s. 789
Hlavní autori:	Amador-Angulo, Leticia, Melin, Patricia, Castillo, Oscar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 20.05.2025
Predmet:	Algorithms Comparative studies Controllers Design optimization Fuzzy algorithms Fuzzy control Fuzzy logic Fuzzy systems Magnetic levitation systems Mathematical functions Mathematical optimization Neural networks Optimization Optimization algorithms Parameters Robots Search algorithms Sensors Swarm intelligence United States New Jersey
ISSN:	2073-8994, 2073-8994
On-line prístup:	Získať plný text
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