This paper proposes an extension of Manta Ray Foraging Optimization (MRFO) using Oppositional-based Learning (OBL) technique called Quasi Reflected Opposition (QRO) …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …