Differential evolution and its applications in image processing problems: a comprehensive review
Differential evolution (DE) is one of the highly acknowledged population-based optimization
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems …
A global best-guided firefly algorithm for engineering problems
Abstract The Firefly Algorithm (FA) is a highly efficient population-based optimization
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
technique developed by mimicking the flashing behavior of fireflies when mating. This article …
An enhanced hybrid arithmetic optimization algorithm for engineering applications
G Hu, J Zhong, B Du, G Wei - Computer Methods in Applied Mechanics and …, 2022 - Elsevier
Arithmetic optimization algorithm (AOA) is a newly well-developed meta-heuristic algorithm
that is inspired by the distribution behavior of main arithmetic operators in mathematics …
that is inspired by the distribution behavior of main arithmetic operators in mathematics …
Metaheuristic optimization algorithms: A comprehensive overview and classification of benchmark test functions
This review aims to exploit a study on different benchmark test functions used to evaluate the
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
performance of Meta-Heuristic (MH) optimization techniques. The performance of the MH …
Intrusion detection in healthcare 4.0 internet of things systems via metaheuristics optimized machine learning
Rapid developments in Internet of Things (IoT) systems have led to a wide integration of
such systems into everyday life. Systems for active real-time monitoring are especially useful …
such systems into everyday life. Systems for active real-time monitoring are especially useful …
DTCSMO: An efficient hybrid starling murmuration optimizer for engineering applications
Starling murmuration optimizer is a newly well-developed swarm intelligence algorithm
inspired by the behavior of starlings during stunning murmuration and has performed …
inspired by the behavior of starlings during stunning murmuration and has performed …
Flood algorithm (FLA): an efficient inspired meta-heuristic for engineering optimization
Introducing a novel meta-heuristic optimization algorithm, the Flood Algorithm (FLA) draws
inspiration from the intricate movement and flow patterns of water masses during flooding …
inspiration from the intricate movement and flow patterns of water masses during flooding …
Newton-Raphson-based optimizer: A new population-based metaheuristic algorithm for continuous optimization problems
Abstract The Newton-Raphson-Based Optimizer (NRBO), a new metaheuristic algorithm, is
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
suggested and developed in this paper. The NRBO is inspired by Newton-Raphson's …
Software defects prediction by metaheuristics tuned extreme gradient boosting and analysis based on shapley additive explanations
Software testing represents a crucial component of software development, and it is usually
making the difference between successful and failed projects. Although it is extremely …
making the difference between successful and failed projects. Although it is extremely …
Tuning attention based long-short term memory neural networks for Parkinson's disease detection using modified metaheuristics
Parkinson's disease (PD) is a progressively debilitating neurodegenerative disorder that
primarily affects the dopaminergic system in the basal ganglia, impacting millions of …
primarily affects the dopaminergic system in the basal ganglia, impacting millions of …