The learning process and hyper-parameter optimization of artificial neural networks (ANNs)
and deep learning (DL) architectures is considered one of the most challenging machine …

Human activity recognition (HAR) technology that analyzes data acquired from various types
of sensing devices, including vision sensors and embedded sensors, has motivated the …

This paper proposes a novel metaheuristic algorithm called Chimp Optimization Algorithm
(ChOA) inspired by the individual intelligence and sexual motivation of chimps in their group …

Grasshopper Optimization Algorithm (GOA) is a recent swarm intelligence algorithm inspired
by the foraging and swarming behavior of grasshoppers in nature. The GOA algorithm has …

In this paper, a novel population-based, nature-inspired optimization paradigm is proposed,
which is called Harris Hawks Optimizer (HHO). The main inspiration of HHO is the …

In this study, two novel effective strategies composed of Lévy flight and chaotic local search
are synchronously introduced into the whale optimization algorithm (WOA) to guide the …

Abstract The Dragonfly Algorithm (DA) is a recently proposed heuristic search algorithm that
was shown to have excellent performance for numerous optimization problems. In this …

Moth-flame optimization algorithm (MFO) is a new nature-inspired meta-heuristic based on
the navigation routine of moths in the environment known as transverse orientation. For …

With recent advancements in data collection tools and the widespread use of intelligent
information systems, a huge amount of data streams with lots of redundant, irrelevant, and …

Abstract Whale Optimization Algorithm (WOA), as a newly developed meta-heuristic
algorithm, performs well in solving optimization problems. A WOA with chaos mechanism …