Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

In this paper, a novel swarm-based metaheuristic algorithm inspired from the behaviors of
beluga whales, called beluga whale optimization (BWO), is presented to solve optimization …

Autonomous navigation is significant to UAVs, especially in disaster scenarios. A Hybrid
GWO and Differential Evolution (HGWODE) algorithm is developed to solve UAV path …

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 …

Differential evolution (DE) algorithm is prone to premature convergence and local
optimization in solving complex optimization problems. In order to solve these problems, the …

Performing highly accurate representation learning on a high-dimensional and sparse
(HiDS) matrix is of great significance in a big data-related application such as a …

In the mid 1990s two landmark metaheuristics have been proposed: Particle Swarm
Optimization and Differential Evolution. Their initial versions were very simple, but rapidly …

This research elucidate the impact of globalization on the content and subjects of Madrasah
Ibtidaiyah curriculum, focusing on the challenges and opportunities it presents. The study …

Newer generation sources and loads are posing new challenges to the conventional power
system protection schemes. Adaptive and intelligent protection methodology, based on …