Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control
Interval Type-2 Fuzzy Logic Control (IT2FLC) possesses a high control ability in a way that it can optimally handle the presence of uncertainty in a system dynamic. However, the design of such a control scheme is a challenging task due to its complex structure and nonlinear behavior. A Manta Ray For...
Saved in:
Main Authors: | Ahmad Azwan, Abdul Razak, Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abdul Ghani, Mohammad Osman, Tokhi |
---|---|
Format: | Article |
Language: | English |
Published: |
SAGE Publications Inc.
2024
|
Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/41331/1/Opposition-based%20manta%20ray%20foraging%20algorithm%20for%20global%20optimization.pdf http://umpir.ump.edu.my/id/eprint/41331/ https://doi.org/10.1177/14613484241242737 https://doi.org/10.1177/14613484241242737 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Manta ray foraging optimization with quasi-reflected opposition strategy for global optimization
by: Abdul Razak, Ahmad Azwan, et al.
Published: (2022) -
Quasi oppositional—Manta ray foraging optimization and its application to pid control of a pendulum system
by: Ahmad Azwan, Abdul Razak, et al.
Published: (2022) -
Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems
by: Ahmad Azwan, Abdul Razak, et al.
Published: (2022) -
Non-dominated sorting manta ray foraging algorithm with an application to optimize PD control
by: Abdul Razak, Ahmad Azwan, et al.
Published: (2022) -
Spiral-based manta ray foraging optimization to optimize PID control of a flexible manipulator
by: Abd Razak, Ahmad Azwan, et al.
Published: (2020)