The Internet-of-Things (IoT) is the future of the Internet, where everything will be connected.
Studies have revealed that fog/edge computing-based services will play a major role in …

In the past few decades, metaheuristics have demonstrated their suitability in addressing
complex problems over different domains. This success drives the scientific community …

This paper studies the trajectory tracking control problem of an autonomous underwater
vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) …

Abstract Harris Hawks Optimization is a recently proposed algorithm inspired by the
cooperative manner and chasing behavior of harris. However, from the experimental results …

This paper investigates the use of a reconfigurable intelligent surface (RIS) to aid point-to-
point multi-data-stream multiple-input multiple-output (MIMO) wireless communications. With …

The optimization of functions to find the best solution according to one or several objectives
has a central role in many engineering and research fields. Recently, a new family of …

This paper proposes a real-time nonlinear model predictive control (NMPC) strategy for
direct yaw moment control (DYC) of distributed drive electric vehicles (DDEVs). The NMPC …

Introduction to Algorithms for Data Mining and Machine Learning introduces the essential
ideas behind all key algorithms and techniques for data mining and machine learning, along …

This paper summarizes a study undertaken to reveal potential challenges and opportunities
for integrating optimization tools in net zero energy buildings (NZEB) design. The paper …

In this paper, an improved version of the Grey Wolf Optimizer (GWO) is proposed to improve
the exploration and the exploitation ability of the GWO algorithm. This improvement is …