In this article, we encompass an analysis of the recent advances in parallel genetic
algorithms (PGAs). We have selected these algorithms because of the deep interest in many …

Wind energy has received increasing attention in recent years due to its sustainability and
geographically wide availability. The efficiency of wind energy utilisation highly depends on …

Battery safety is one of the most crucial issues in the utilization of lithium-ion batteries (LiBs)
for all-climate electric vehicles. Short circuit, overcharge, and overheat are three common …

Q-learning is an off-policy reinforcement learning technique, which has the main advantage
of obtaining an optimal policy interacting with an unknown model environment. This paper …

Obtaining an accurate mathematical model is an important subject to design an overhead
crane control system. However, there are some deviations between an existing model and a …

Modeling of batteries in photovoltaic systems has been a major issue related to the random
dynamic regime imposed by the changes of solar irradiation and ambient temperature …

Abstract Named Data Networking (NDN) is a promising network architecture being
considered as a possible replacement for the current IP-based (host-centric) Internet …

In this paper, a Joint set-up procedure for tuning metaheuristic algorithms' parameters is
proposed. The approach is applied to a genetic algorithm (GA) and tested further on the …

The process of finding the optimal allocation of limited resources to a number of tasks for
optimizing multiple objectives is called multi-objective resource allocation problem …

Feature selection plays a crucial role in establishing an effective speech emotion recognition
system. To improve recognition accuracy, people always extract as many features as …