A new fuzzy bee colony optimization with dynamic adaptation of parameters using interval type-2 fuzzy logic for tuning fuzzy controllers

Leticia Amador-Angulo; Oscar Castillo

doi:10.1007/s00500-016-2354-0

A new fuzzy bee colony optimization with dynamic adaptation of parameters using interval type-2 fuzzy logic for tuning fuzzy controllers

Soft Computing ◽

10.1007/s00500-016-2354-0 ◽

2016 ◽

Vol 22 (2) ◽

pp. 571-594 ◽

Cited By ~ 33

Author(s):

Leticia Amador-Angulo ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Dynamic Adaptation ◽

Fuzzy Controllers ◽

Bee Colony ◽

Bee Colony Optimization ◽

Interval Type

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Comparative Study of Metrics That Affect in the Performance of the Bee Colony Optimization Algorithm Through Interval Type-2 Fuzzy Logic Systems

Fuzzy Logic in Intelligent System Design - Advances in Intelligent Systems and Computing ◽

10.1007/978-3-319-67137-6_7 ◽

2017 ◽

pp. 61-72

Author(s):

Leticia Amador-Angulo ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Comparative Study ◽

Optimization Algorithm ◽

Fuzzy Logic Systems ◽

Bee Colony ◽

Bee Colony Optimization ◽

Logic Systems ◽

Interval Type

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A Fuzzy Bee Colony Optimization Algorithm Using an Interval Type-2 Fuzzy Logic System for Trajectory Control of a Mobile Robot

Lecture Notes in Computer Science - Advances in Artificial Intelligence and Soft Computing ◽

10.1007/978-3-319-27060-9_38 ◽

2015 ◽

pp. 460-471 ◽

Cited By ~ 4

Author(s):

Leticia Amador-Angulo ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Mobile Robot ◽

Optimization Algorithm ◽

Fuzzy Logic System ◽

Trajectory Control ◽

Bee Colony ◽

Bee Colony Optimization ◽

Interval Type ◽

Logic System

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A Comparative Study of Dynamic Adaptation of Parameters in the GWO Algorithm Using Type-1 and Interval Type-2 Fuzzy Logic

Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications - Studies in Computational Intelligence ◽

10.1007/978-3-319-71008-2_1 ◽

2018 ◽

pp. 3-16 ◽

Cited By ~ 2

Author(s):

Luis Rodríguez ◽

Oscar Castillo ◽

Mario García ◽

José Soria

Keyword(s):

Fuzzy Logic ◽

Comparative Study ◽

Dynamic Adaptation ◽

Interval Type

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Artificial bee colony optimization of interval type-2 fuzzy extreme learning system for chaotic data

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) ◽

10.1109/iccoins.2016.7783237 ◽

2016 ◽

Cited By ~ 1

Author(s):

Saima Hassan ◽

Jafreezal Jaafar ◽

Mojtaba A. Khanesar ◽

Abbas Khosravi

Keyword(s):

Artificial Bee Colony ◽

Learning System ◽

Artificial Bee Colony Optimization ◽

Bee Colony ◽

Bee Colony Optimization ◽

Interval Type

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A Generalized Type-2 Fuzzy Logic System for the dynamic adaptation the parameters in a Bee Colony Optimization algorithm applied in an autonomous mobile robot control

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2016.7737733 ◽

2016 ◽

Cited By ~ 7

Author(s):

Leticia Amador-Angulo ◽

Oscar Castillo ◽

Juan R. Castro

Keyword(s):

Robot Control ◽

Fuzzy Logic System ◽

Dynamic Adaptation ◽

Autonomous Mobile Robot ◽

Bee Colony ◽

Bee Colony Optimization ◽

Mobile Robot Control ◽

Generalized Type ◽

Logic System

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Design of Interval Type-2 Fractional-Order Fuzzy Logic Controller for Redundant Robot with Artificial Bee Colony

Arabian Journal for Science and Engineering ◽

10.1007/s13369-018-3207-1 ◽

2018 ◽

Vol 44 (3) ◽

pp. 1883-1902 ◽

Cited By ~ 2

Author(s):

Anupam Kumar ◽

Vijay Kumar

Keyword(s):

Fuzzy Logic ◽

Fractional Order ◽

Artificial Bee Colony ◽

Fuzzy Logic Controller ◽

Redundant Robot ◽

Bee Colony ◽

Interval Type

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Dynamic adaptation of the PID’s gains via Interval type-1 non-singleton type-2 fuzzy logic systems whose parameters are adapted using the backpropagation learning algorithm

Soft Computing ◽

10.1007/s00500-019-04360-1 ◽

2019 ◽

Vol 24 (1) ◽

pp. 17-40

Author(s):

Gerardo M. Méndez ◽

P. Noradino Montes Dorantes ◽

M. Aracelia Alcorta

Keyword(s):

Fuzzy Logic ◽

Learning Algorithm ◽

Dynamic Adaptation ◽

Fuzzy Logic Systems ◽

Logic Systems ◽

Interval Type ◽

Backpropagation Learning

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Interval Type-2 Fuzzy Dynamic Parameter Adaptation in Bee Colony Optimization for Autonomous Mobile Robot Navigation

Recent Developments and the New Direction in Soft-Computing Foundations and Applications - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-030-47124-8_5 ◽

2020 ◽

pp. 45-62

Author(s):

Oscar Castillo

Keyword(s):

Mobile Robot ◽

Robot Navigation ◽

Dynamic Parameter ◽

Mobile Robot Navigation ◽

Autonomous Mobile Robot ◽

Parameter Adaptation ◽

Bee Colony ◽

Bee Colony Optimization ◽

Interval Type

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Interval Type 2 Fuzzy Logic Based Multifocus Image Fusion

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i1.220227 ◽

2018 ◽

Vol 6 (1) ◽

pp. 220-227

Author(s):

A.N. Myna ◽

◽

J. Prakash ◽

Keyword(s):

Fuzzy Logic ◽

Image Fusion ◽

Interval Type

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A New Interval Type-2 Fuzzy Logic System Under Dynamic Environment: Application to Financial Investment

SSRN Electronic Journal ◽

10.2139/ssrn.3532096 ◽

2020 ◽

Author(s):

Akihiko Takahashi ◽

Soichiro Takahashi

Keyword(s):

Fuzzy Logic ◽

Dynamic Environment ◽

Fuzzy Logic System ◽

Financial Investment ◽

Interval Type ◽

Logic System

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