Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic

Frumen Olivas; Fevrier Valdez; Oscar Castillo; Patricia Melin

doi:10.1007/s00500-014-1567-3

Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic

Soft Computing ◽

10.1007/s00500-014-1567-3 ◽

2014 ◽

Vol 20 (3) ◽

pp. 1057-1070 ◽

Cited By ~ 51

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo ◽

Patricia Melin

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Dynamic Parameter ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type

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Particle swarm optimization with dynamic parameter adaptation using interval type-2 fuzzy logic for benchmark mathematical functions

2013 World Congress on Nature and Biologically Inspired Computing ◽

10.1109/nabic.2013.6617875 ◽

2013 ◽

Cited By ~ 15

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Dynamic Parameter ◽

Mathematical Functions ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type

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An interval type-2 fuzzy logic system for dynamic parameter adaptation in particle swarm optimization

2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW) ◽

10.1109/norbert.2014.6893881 ◽

2014 ◽

Cited By ~ 2

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Dynamic Parameter ◽

Fuzzy Logic System ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type ◽

Logic System

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A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization

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

10.1007/978-3-319-32229-2_26 ◽

2016 ◽

pp. 373-385

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Particle Swarm Optimization ◽

Comparative Study ◽

Fuzzy System ◽

Particle Swarm ◽

Dynamic Parameter ◽

Membership Functions ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type

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A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System used to Dynamic Parameter Adaptation in Particle Swarm Optimization

Studies in Computational Intelligence - Recent Advances on Hybrid Approaches for Designing Intelligent Systems ◽

10.1007/978-3-319-05170-3_5 ◽

2014 ◽

pp. 67-78 ◽

Cited By ~ 2

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Particle Swarm Optimization ◽

Comparative Study ◽

Fuzzy System ◽

Particle Swarm ◽

Dynamic Parameter ◽

Membership Functions ◽

Swarm Optimization ◽

Parameter Adaptation ◽

Interval Type

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A Non-Singleton Interval Type-2 Fuzzy Logic System for universal image noise removal using Quantum-behaved Particle Swarm Optimization

2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011) ◽

10.1109/fuzzy.2011.6007505 ◽

2011 ◽

Cited By ~ 10

Author(s):

Daoyuan Zhai ◽

Minshen Hao ◽

Jerry M. Mendel

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Noise Removal ◽

Fuzzy Logic System ◽

Image Noise ◽

Swarm Optimization ◽

Interval Type ◽

Logic System

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Particle Swarm Optimization with Dynamic Parameter Adaptation Using Fuzzy Logic for Benchmark Mathematical Functions

Recent Advances on Hybrid Intelligent Systems - Studies in Computational Intelligence ◽

10.1007/978-3-642-33021-6_20 ◽

2013 ◽

pp. 247-258 ◽

Cited By ~ 13

Author(s):

Frumen Olivas ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Dynamic Parameter ◽

Mathematical Functions ◽

Swarm Optimization ◽

Parameter Adaptation

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Accurate Forecasting of Electric Load Demand via Interval Type-2 Fuzzy Logic Method With Particle Swarm Optimization

10.1109/cieec50170.2021.9510550 ◽

2021 ◽

Author(s):

Zheng Kai ◽

Li Mingwen ◽

Zhang Tao ◽

Gao Wenbin ◽

Geng Baochun

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Electric Load ◽

Swarm Optimization ◽

Load Demand ◽

Fuzzy Logic Method ◽

Interval Type ◽

Logic Method

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Interval type-2 fuzzy logic with particle swarm optimization for DC motor position control

Synergy of Automation, IoT & AI ◽

10.13180/clawar.2019.26-28.08.34 ◽

2019 ◽

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Position Control ◽

Particle Swarm ◽

Dc Motor ◽

Swarm Optimization ◽

Interval Type

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Motion Control of Triple Links Inverted Pendulum on Two-Wheeled System Using Interval Type-2 Fuzzy Logic Control Base on Particle Swarm Optimization

2019 9th IEEE International Conference on Control System, Computing and Engineering (ICCSCE) ◽

10.1109/iccsce47578.2019.9068536 ◽

2019 ◽

Author(s):

M. F. Masrom ◽

N. M. Ghani ◽

N. F. Jamin ◽

N. A. A. Razali

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Motion Control ◽

Fuzzy Logic Control ◽

Inverted Pendulum ◽

Particle Swarm ◽

Swarm Optimization ◽

Logic Control ◽

Interval Type

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Control of a two-wheeled Lego EV3 robot using interval type-2 fuzzy logic with particle swarm optimization

Synergy of Automation, IoT & AI ◽

10.13180/clawar.2019.26-28.08.35 ◽

2019 ◽

Keyword(s):

Fuzzy Logic ◽

Particle Swarm Optimization ◽

Particle Swarm ◽

Swarm Optimization ◽

Interval Type

Download Full-text