The purpose of this paper is to explore the applications of quantum computing to energy
systems optimization problems and discuss some of the challenges faced by quantum …

Most common practices for solving building retrofit problems lack efficiency and overall
robustness. Knowledge of novel methods that support decision-making (DM) for retrofitting is …

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 …

Hybrid energy storage system (HESS) has emerged as the solution to achieve the desired
performance of an electric vehicle (EV) by combining the appropriate features of different …

In this paper, a hybrid improved whale optimization salp swarm algorithm (IWOSSA) is
proposed. The main idea behind IWOSSA is to combine improved Whale Optimization …

In recent decades, researches on optimizing the parameter of the artificial neural network
(ANN) model has attracted significant attention from researchers. Hybridization of superior …

Abstract We propose hybrid Artificial Bee Colony (ABC) optimization algorithms for the well-
known Quadratic Assignment Problem (QAP). Large problem instances of the QAP are still …

Internet of Things (IoT) is anticipated to bridge various technologies to allow new
applications through linking physical things together in the future. Increasing facilities …

Unmanned aerial vehicles (UAVs) have recently been increasingly popular in various areas,
fields, and applications. Military, disaster management, rescue operations, public services …

Abstract The Quadratic Assignment Problem (QAP) is one of the most studied classical
combinatorial optimization problems. QAP has many practical applications. Designing …