[HTML][HTML] An efficient adaptive-mutated coati optimization algorithm for feature selection and global optimization
The feature selection (FS) problem has occupied a great interest of scientists lately since the
highly dimensional datasets might have many redundant and irrelevant features. FS aims to …
highly dimensional datasets might have many redundant and irrelevant features. FS aims to …
A Comprehensive Survey on African Vulture Optimization Algorithm
Abstract African Vulture Optimization Algorithm (AVOA) is a nature-inspired optimization
technique that draws its inspiration from the behaviours and foraging patterns of African …
technique that draws its inspiration from the behaviours and foraging patterns of African …
Comparative analysis of the hybrid gazelle‐Nelder–Mead algorithm for parameter extraction and optimization of solar photovoltaic systems
The pressing need for sustainable energy solutions has driven significant research in
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …
optimizing solar photovoltaic (PV) systems which is crucial for maximizing energy …
An enhanced dynamic differential annealed algorithm for global optimization and feature selection
Dynamic differential annealed optimization (DDAO) is a recently developed physics-based
metaheuristic technique that mimics the classical simulated annealing mechanism …
metaheuristic technique that mimics the classical simulated annealing mechanism …
A CNN-based model to count the leaves of rosette plants (LC-Net)
Plant image analysis is a significant tool for plant phenotyping. Image analysis has been
used to assess plant trails, forecast plant growth, and offer geographical information about …
used to assess plant trails, forecast plant growth, and offer geographical information about …
Multi-agent variational approach for robotics: a bio-inspired perspective
This study proposes an adaptable, bio-inspired optimization algorithm for Multi-Agent Space
Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio …
Exploration. The recommended approach combines a parameterized Aquila Optimizer, a bio …
An enhanced chameleon swarm algorithm for global optimization and multi-level thresholding medical image segmentation
RR Mostafa, EH Houssein, AG Hussien… - Neural Computing and …, 2024 - Springer
Medical image segmentation is crucial in using digital images for disease diagnosis,
particularly in post-processing tasks such as analysis and disease identification …
particularly in post-processing tasks such as analysis and disease identification …
Eagle strategy in nature-inspired optimization: theory, analysis, applications, and comparative study
Abstract The Eagle Strategy (ES) is a bi-level optimization approach that proves highly
beneficial in maintaining a well-balanced combination of evaluation and manipulation. In …
beneficial in maintaining a well-balanced combination of evaluation and manipulation. In …
Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems
In this study, we introduce the pied kingfisher optimizer (PKO), a novel swarm-based meta-
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …
heuristic algorithm that draws inspiration from the distinctive hunting behavior and symbiotic …
Adapting the pre-trained convolutional neural networks to improve the anomaly detection and classification in mammographic images
Mortality from breast cancer (BC) is among the top causes of cancer death in women. BC
can be effectively treated when diagnosed early, improving the likelihood that a patient will …
can be effectively treated when diagnosed early, improving the likelihood that a patient will …