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 …
Machine learning methods for diagnosis of eye-related diseases: a systematic review study based on ophthalmic imaging modalities
Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …
macular degeneration are some of the most common and important retinal diseases. A …
[HTML][HTML] Review of bio-inspired optimization applications in renewable-powered smart grids: Emerging population-based metaheuristics
The management of renewable-powered smart grids deals with nonlinear optimization
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
problems featuring a variety of linear or nonlinear constraints, discrete or continuous …
[HTML][HTML] 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 …
that simulates the foraging strategy and behavior of manta ray groups, ie, chain, spiral, and …
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 …
Transformation and learning of the non-equidimensional hesitant fuzzy information based on an extended generative adversarial network
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' …
robust presentation tool, cannot only suitably address the decision makers'(DMs') or experts' …
[HTML][HTML] Advancements in Glaucoma Diagnosis: The Role of AI in Medical Imaging
CP Bragança, JM Torres, LO Macedo, CPA Soares - Diagnostics, 2024 - mdpi.com
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 …
diagnosis studies of the eye disease glaucoma has been growing and presenting essential …
Glaucoma detection using hybrid architecture based on optimal deep neuro fuzzy network
Glaucoma represents dangerous ailment, which affected the nervous model and causes
loss of vision. Several researchers developed automated discovery of glaucoma, but …
loss of vision. Several researchers developed automated discovery of glaucoma, but …
IBMRFO: Improved binary manta ray foraging optimization with chaotic tent map and adaptive somersault factor for feature selection
K Zhang, Y Liu, X Wang, F Mei, H Kang… - Expert Systems with …, 2024 - Elsevier
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 …
or characteristics in a dataset, and it is an important step that can improve the performance …
[HTML][HTML] Optimizing the Probabilistic Neural Network Model with the Improved Manta Ray Foraging Optimization Algorithm to Identify Pressure Fluctuation Signal …
X Liu, L Wang, H Yan, Q Cao, L Zhang, W Zhao - Biomimetics, 2024 - mdpi.com
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 …
hydraulic turbines, this study proposes an improved manta ray foraging optimization …