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 …

The supervision of local specific absorption rate (SAR) in parallel transmission applications
in MRI is crucial. One existing approach is to use electromagnetic simulations including …

In this paper, we investigate the application of the non-orthogonal multiple access (NOMA)
technique into the unmanned aerial vehicle (UAV) aided relay networks. Specifically, we first …

Abstract The Bees Algorithm (BA) is a bee swarm intelligence-based metaheuristic algorithm
that is inspired by the natural behavior of honeybees when foraging for food. BA can be …

In this paper, we propose a mobile edge computing (MEC)-enabled unmanned aerial
vehicle (UAV)-assisted vehicular ad hoc network (VANET) architecture, based on which a …

The aim of the paper is to survey the various forms of optimal-control theory which have
been applied to automotive problems and to present illustrative examples of applications …

Solving a large‐scale optimization problem with nonlinear state constraints is challenging
when adjoint gradients are not available for computing the derivatives needed in the basic …

This paper investigates the consensus problem of general linear multi-agent systems under
the framework of optimization. A novel distributed receding horizon control (RHC) strategy …

In clinical applications of magnetic nanoparticle hyperthermia for cancer treatment it is very
important to ensure a maximum damage to the tumor while protecting the normal tissue. The …