Quasi oppositional—Manta ray foraging optimization and its application to PID control of a pendulum system

AA Abdul Razak, ANK Nasir, NA Mhd Rizal… - Proceedings of the 12th …, 2022 - Springer
This paper presents an improved version of Manta Ray Foraging Optimization (MRFO).
MRFO is relatively a single objective optimization algorithm. It was inspired from the …

Manta ray foraging optimization with quasi-reflected opposition strategy for global optimization

AA Abdul Razak, ANK Nasir, NM Abdul Ghani… - Proceedings of the 6th …, 2022 - Springer
This paper proposes an extension of Manta Ray Foraging Optimization (MRFO) using
Oppositional-based Learning (OBL) technique called Quasi Reflected Opposition (QRO) …

Non-dominated sorting manta ray foraging algorithm with an application to optimize PD control

AA Abdul Razak, ANK Nasir, NM Abdul Ghani… - Recent Trends in …, 2022 - Springer
This paper presents a multi-objective (MO) version of Manta Ray Foraging Algorithm
(MRFO) by using components in Non-Dominated Sorting Genetic Algorithm (NSGAII). MFRO …

Hybrid genetic manta ray foraging optimization and its application to interval type 2 fuzzy logic control of an inverted pendulum system

AA bin Abdul Razak, ANK bin Nasir… - IOP Conference …, 2020 - iopscience.iop.org
This paper presents an improvised version of Manta-Ray Foraging Optimization (MRFO) by
using components in Genetic Algorithm (GA). MRFO is a recent proposed algorithm which …

Improved manta ray foraging optimization using opposition-based learning for optimization problems

D Izci, S Ekinci, E Eker, M Kayri - 2020 international congress …, 2020 - ieeexplore.ieee.org
Manta ray foraging optimization (MRFO) algorithm is a bio-inspired meta-heuristic algorithm.
It has been proposed as an alternative optimization approach for real-world engineering …

Adaptive-somersault MRFO for global optimization with an application to optimize PD control

MFM Jusof, ANK Nasir, AAA Razak, NAM Rizal… - Proceedings of the 12th …, 2022 - Springer
This paper presents an Adaptive-Somersault Manta Ray Foraging Algorithm (AS-MRFO).
Manta Ray Foraging Algorithm (MRFO) is a recently introduced algorithm inspired from …

Spiral-based manta ray foraging optimization to optimize PID control of a flexible manipulator

AA Abd Razak, ANK Nasir… - 2020 Emerging …, 2020 - ieeexplore.ieee.org
This paper presents a Spiral-based Manta Ray Foraging Algorithm (SMRFO). It is an
improvement of Manta Ray Foraging Algorithm (MRFO). The original MRFO has a …

A new improved model of marine predator algorithm for optimization problems

M Ramezani, D Bahmanyar, N Razmjooy - Arabian Journal for Science …, 2021 - Springer
The marine predator algorithm is a new nature-inspired metaheuristic algorithm that mimics
biological interaction between marine predators and prey. It has been also stated from the …

Elite chaotic manta ray algorithm integrated with chaotic initialization and opposition-based learning

J Yang, Z Liu, X Zhang, G Hu - Mathematics, 2022 - mdpi.com
The manta ray foraging optimizer (MRFO) is a novel nature-inspired optimization algorithm
that simulates the foraging strategy and behavior of manta ray groups, ie, chain, spiral, and …

Hierarchical manta ray foraging optimization with weighted fitness-distance balance selection

Z Tang, K Wang, S Tao, Y Todo, RL Wang… - International Journal of …, 2023 - Springer
Manta ray foraging optimization (MRFO) tends to get trapped in local optima as it relies on
the direction provided by the previous individual and the best individual as guidance to …