This paper comprehensively analyzes the Manta Ray Foraging Optimization (MRFO)
algorithm and its integration into diverse academic fields. Introduced in 2020, the MRFO …

Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …

The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …

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 …

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 …

In the subjective evaluation process, the hesitant fuzzy set (HFS), as a convenient and
robust presentation tool, cannot only suitably address the decision makers'(DMs') or experts' …

The progress of artificial intelligence algorithms in digital image processing and automatic
diagnosis studies of the eye disease glaucoma has been growing and presenting essential …

Glaucoma represents dangerous ailment, which affected the nervous model and causes
loss of vision. Several researchers developed automated discovery of glaucoma, but …

Feature selection refers to the process of identifying the most relevant and valuable features
or characteristics in a dataset, and it is an important step that can improve the performance …

To improve the identification accuracy of pressure fluctuation signals in the draft tube of
hydraulic turbines, this study proposes an improved manta ray foraging optimization …