An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
DETDO: An adaptive hybrid dandelion optimizer for engineering optimization
G Hu, Y Zheng, L Abualigah, AG Hussien - Advanced Engineering …, 2023 - Elsevier
Dandelion Optimizer (DO) is a recently proposed swarm intelligence algorithm that
coincides with the process of finding the best reproduction site for dandelion seeds …
coincides with the process of finding the best reproduction site for dandelion seeds …
Genghis Khan shark optimizer: a novel nature-inspired algorithm for engineering optimization
G Hu, Y Guo, G Wei, L Abualigah - Advanced Engineering Informatics, 2023 - Elsevier
This study tenders a new nature-inspired metaheuristic algorithm (MA) based on the
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
behavior of the Genghis Khan shark (GKS), called GKS optimizer (GKSO), which is used for …
White Shark Optimizer: A novel bio-inspired meta-heuristic algorithm for global optimization problems
This paper presents a novel meta-heuristic algorithm so-called White Shark Optimizer
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
(WSO) to solve optimization problems over a continuous search space. The core ideas and …
Ebola optimization search algorithm: A new nature-inspired metaheuristic optimization algorithm
Nature computing has evolved with exciting performance to solve complex real-world
combinatorial optimization problems. These problems span across engineering, medical …
combinatorial optimization problems. These problems span across engineering, medical …
Liver Cancer Algorithm: A novel bio-inspired optimizer
This paper introduces a new bio-inspired optimization algorithm named the Liver Cancer
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Algorithm (LCA), which mimics the liver tumor growth and takeover process. It uses an …
Osprey optimization algorithm: A new bio-inspired metaheuristic algorithm for solving engineering optimization problems
M Dehghani, P Trojovský - Frontiers in Mechanical Engineering, 2023 - frontiersin.org
This paper introduces a new metaheuristic algorithm named the Osprey Optimization
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …
Algorithm (OOA), which imitates the behavior of osprey in nature. The fundamental …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
Waterwheel plant algorithm: a novel metaheuristic optimization method
AA Abdelhamid, SK Towfek, N Khodadadi… - Processes, 2023 - mdpi.com
Attempting to address optimization problems in various scientific disciplines is a
fundamental and significant difficulty requiring optimization. This study presents the …
fundamental and significant difficulty requiring optimization. This study presents the …