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 …

Emerging applications such as Internet of Everything, Holographic Telepresence,
collaborative robots, and space and deep-sea tourism are already highlighting the …

Swarm intelligence is one of the fastest growing subfields of artificial intelligence and soft
computing. This field includes multiple optimization algorithms to solve NP-hard problems …

Microseismic location systems tend to be high-speed and precise. However, the requirement
of high precision tends to slow down the calculation speed. Fortunately, metaheuristics are …

Recent technological breakthroughs and significant expansion in the number of Internet-of-
Things (IoT) devices, a new paradigm of unparalleled user experiences, dramatically …

Abstract The Multi-Objective Chimp Optimization Algorithm (MOChOA), a multi-objective
variation of the recently proposed ChOA, is developed in this research to address multi …

Intelligent signal processing for wireless communications is a vital task in modern wireless
systems, but it faces new challenges because of network heterogeneity, diverse service …

Large number of Internet of Things (IoT) devices deployed on demand to monitor
surroundings and offload computation-intensive tasks to edge servers, which favors low …

Artificial Neural Networks (ANNs) are becoming increasingly useful in numerous areas as
they have a myriad of applications. Prior to using ANNs, the network structure needs to be …

Due to the ad hoc nature of vehicular ad hoc networks (VANETs), routing in VANETs is
challenging. Using an energy‐efficient shortest path without congestion (EESPWC) …