Advances in manta ray foraging optimization: A comprehensive survey
FS Gharehchopogh, S Ghafouri, M Namazi… - Journal of Bionic …, 2024 - Springer
This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …
Manta ray foraging optimization algorithm: Modifications and applications
The novel metaheuristic manta ray foraging optimization (MRFO) algorithm is based on the
smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based …
smart conduct of manta rays. The MRFO algorithm is a newly developed swarm-based …
Opposition-based manta ray foraging algorithm for global optimization and its application to optimize nonlinear type-2 fuzzy logic control
AA Abdul Razak, ANK Nasir… - Journal of Low …, 2024 - journals.sagepub.com
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 …
can optimally handle the presence of uncertainty in a system dynamic. However, the design …
Improved Cascade Chaotic Invasive Weed Optimization Algorithm (ICCIWO), application to controller tuning and optimization
M Esmaeili Ranjbar, M Yaghoobi… - Journal of Experimental & …, 2023 - Taylor & Francis
ABSTRACT An Improved Cascade Chaotic Invasive Weed Optimization Algorithm (ICCIWO)
is proposed, employing cascade chaotic maps in the structure of a metaheuristic …
is proposed, employing cascade chaotic maps in the structure of a metaheuristic …
Manta Ray Foraging Optimization Approaches on Multivariable PID Controller Tuning
YLS Luúio, LSA Da Silva, VC Mariani… - 2023 IEEE Congress …, 2023 - ieeexplore.ieee.org
This work presents a performance comparison between the newly developed Manta Ray
Foraging Optimization (MRFO) and two different variants created for tuning a decentralized …
Foraging Optimization (MRFO) and two different variants created for tuning a decentralized …
A Novel Elite Opposition-Based Learning Combined Aquila Optimizer for Optimization of Hybrid Power System Considering UPFC
D Banerjee, PK Roy, GK Panda - 2023 IEEE World Conference …, 2023 - ieeexplore.ieee.org
This paper applies an intelligent elite opposition-based learning (EOBL) technique to
enhance the aquila optimizer's (AO) performance. The proposed EOBL combined AO (EOBL …
enhance the aquila optimizer's (AO) performance. The proposed EOBL combined AO (EOBL …