This paper introduces a comprehensive survey of a new population-based algorithm so-
called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as …

Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …

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 …

Purpose: The Internet of Things (IoT) is a relatively new paradigm that is growing rapidly in
modern wireless communication scenarios. The main idea of this concept is the pervasive …

Artificial Intelligence techniques, such as optimization algorithms, have become essential for
success in many fields. Therefore, most researchers, especially in computer and …

Abstract Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm
intelligence methods. It has been widely tailored for a wide variety of optimization problems …

Recently, non-volatile memory (NVM) technology has revolutionized the landscape of
memory systems. With many advantages, such as non volatility and near zero standby …

The objective of our work is to provide an in-depth analysis and compilation of device-level
strategies for enhancing the energy efficiency of Machine-Type Communication (MTC). The …

The growing demand for Internet of Things (IoT) networks has sparked interest in
sustainable, zero-energy designs through Energy Harvesting (EH) to extend the lifespans of …

The semiconductor industry is focused on the miniaturization of transistors to achieve
smaller VLSI circuits. However, downscaling of CMOS technology presents numerous …