The Harris hawk optimizer is a recent population-based metaheuristics algorithm that
simulates the hunting behavior of hawks. This swarm-based optimizer performs the …

In this review, we intend to present a complete literature survey on the conception and
variants of the recent successful optimization algorithm, Harris Hawk optimizer (HHO), along …

This paper introduces a comprehensive survey of a new swarm intelligence optimization
algorithm so-called Harris hawks optimization (HHO) and analyzes its major features. HHO …

Abstract Harris Hawks Optimization (HHO) algorithm is a newly proposed meta-heuristic
optimization algorithm that simulates the hunting process of the Harris hawks. It has the …

With the advancement of sensor technologies, Wireless Sensor Networks (WSN) are
envisioning a rich variety of promising services in many fields. WSN is formed by the …

In this research, a novel sound source localization model is introduced that integrates a
convolutional neural network with a regression model (CNN-R) to estimate the sound source …

Abstract Wireless Sensor Networks (WSN) are widely used in recent years due to the
advancements in wireless and sensor technologies. Many of these applications require to …

How to get the node position, as a hotter topic in the field of wireless communication, is the
primary problem to be solved in wireless sensor networks (WSNs). The DV-Hop positioning …

Aiming at the problems of slow convergence and low accuracy of the traditional sparrow
search algorithm (SSA), a multi-strategy improved sparrow search algorithm (ISSA) was …

Dynamic optimization problems (DOPs) have been a subject of considerable research
interest mainly due to their widespread application potential. In the literature, various …