Recent applications and advances of African vultures optimization algorithm
AG Hussien, FS Gharehchopogh, A Bouaouda… - Artificial Intelligence …, 2024 - Springer
Abstract The African Vultures Optimization Algorithm (AVOA) is a recently developed meta-
heuristic algorithm inspired by the foraging behavior of African vultures in nature. This …
heuristic algorithm inspired by the foraging behavior of African vultures in nature. This …
Binary starling murmuration optimizer algorithm to select effective features from medical data
Feature selection is an NP-hard problem to remove irrelevant and redundant features with
no predictive information to increase the performance of machine learning algorithms. Many …
no predictive information to increase the performance of machine learning algorithms. Many …
A review of recent advances in quantum-inspired metaheuristics
Quantum-inspired metaheuristics emerged by combining the quantum mechanics principles
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …
with the metaheuristic algorithms concepts. These algorithms extend the diversity of the …
A multi-strategy enhanced African vultures optimization algorithm for global optimization problems
R Zheng, AG Hussien, R Qaddoura… - Journal of …, 2023 - academic.oup.com
The African vultures optimization algorithm (AVOA) is a recently proposed metaheuristic
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
inspired by the African vultures' behaviors. Though the basic AVOA performs very well for …
Design of a wind-PV system integrated with a hybrid energy storage system considering economic and reliability assessment
Hybrid energy systems (HESs) have garnered significant attention as a sustainable solution
to meet the world's growing energy demands while minimizing environmental impact …
to meet the world's growing energy demands while minimizing environmental impact …
Feature selection problem and metaheuristics: a systematic literature review about its formulation, evaluation and applications
Feature selection is becoming a relevant problem within the field of machine learning. The
feature selection problem focuses on the selection of the small, necessary, and sufficient …
feature selection problem focuses on the selection of the small, necessary, and sufficient …
BYDSEX: Binary Young's double-slit experiment optimizer with adaptive crossover for feature selection: Investigating performance issues of network intrusion …
Contemporary advancements in technology provide vast quantities of data with large
dimensions, leading to high computing burdens. These big data quantities suffer from …
dimensions, leading to high computing burdens. These big data quantities suffer from …
On-line detecting soluble sugar, total acids, and bacterial concentration during kombucha fermentation based on the visible/near infrared combined meta-heuristic …
S Zhao, T Jiao, Z Wang, SYSS Adade, X Wu… - Journal of Food …, 2023 - Elsevier
On-line monitoring of key growth indicators is essential to regulate the kombucha
fermentation process and improve utilization of summer-autumn tea. This study developed …
fermentation process and improve utilization of summer-autumn tea. This study developed …
An enhanced African vulture optimization algorithm for solving the unmanned aerial vehicles path planning problem
In recent years, research on Unmanned Aerial Vehicles has become one of the most
interesting topics for industry and academics. UAVs path planning is one of the most …
interesting topics for industry and academics. UAVs path planning is one of the most …
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 …