[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 …
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 …
Evolution of the random subset feature selection algorithm for classification problem
Datasets often include excessive or irrelevant data that affect the performance and
complexity of the machine learning model. Feature selection is one of the most effective …
complexity of the machine learning model. Feature selection is one of the most effective …
Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images
Particularly in recent years, there has been increased interest in determining the ideal
thresholding for picture segmentation. The best thresholding values are found using various …
thresholding for picture segmentation. The best thresholding values are found using various …
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 …
Enhancement of AVR system performance by using hybrid harmony search and dwarf mongoose optimization algorithms
Innovations in control algorithms, integration of smart grid technologies, and advancements
in materials and manufacturing techniques all push the boundaries of AVR performance. As …
in materials and manufacturing techniques all push the boundaries of AVR performance. As …
Synergistic Swarm Optimization Algorithm.
This research paper presents a novel optimization method called the Synergistic Swarm
Optimization Algorithm (SSOA). The SSOA combines the principles of swarmintelligence …
Optimization Algorithm (SSOA). The SSOA combines the principles of swarmintelligence …
Modified aquila optimizer feature selection approach and support vector machine classifier for intrusion detection system
L Abualigah, SH Ahmed, MH Almomani… - Multimedia Tools and …, 2024 - Springer
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every
facet of modern life, escalating concerns surrounding network security for users …
facet of modern life, escalating concerns surrounding network security for users …
A novel opposition-based hybrid cooperation search algorithm with Nelder–Mead for tuning of FOPID-controlled buck converter
This paper introduces a novel metaheuristic algorithm named the opposition-based
cooperation search algorithm with Nelder–Mead (OCSANM). This enhanced algorithm …
cooperation search algorithm with Nelder–Mead (OCSANM). This enhanced algorithm …
Enhanced sparrow search algorithm based on improved game predatory mechanism and its application
J Yang, S Gao, X Zhao, G Li, Z Gao - Digital Signal Processing, 2024 - Elsevier
In response to the problems of strong randomness in initialization, imperfect search
mechanism and tendency to fall into local optimum when dealing with complex optimization …
mechanism and tendency to fall into local optimum when dealing with complex optimization …