A review on genetic algorithm: past, present, and future

S Katoch, SS Chauhan, V Kumar - Multimedia tools and applications, 2021 - Springer
In this paper, the analysis of recent advances in genetic algorithms is discussed. The genetic
algorithms of great interest in research community are selected for analysis. This review will …

The vehicle routing problem: State-of-the-art classification and review

SY Tan, WC Yeh - Applied Sciences, 2021 - mdpi.com
Transportation planning has been established as a key topic in the literature and social
production practices. An increasing number of researchers are studying vehicle routing …

Service offloading with deep Q-network for digital twinning-empowered internet of vehicles in edge computing

X Xu, B Shen, S Ding, G Srivastava… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …

[HTML][HTML] Inverse metamaterial design combining genetic algorithms with asymptotic homogenization schemes

F Dos Reis, N Karathanasopoulos - International Journal of Solids and …, 2022 - Elsevier
In the current work, a numerical method for the inverse engineering of metamaterials is
elaborated. The method is based on the combination of asymptotic homogenization …

A novel algorithm for capacitated vehicle routing problem for smart cities

M Sajid, J Singh, RA Haidri, M Prasad, V Varadarajan… - Symmetry, 2021 - mdpi.com
Smart logistics is an indispensable building block in smart cities development that requires
solving the challenge of efficiently serving the demands of geographically distributed …

A novel sparrow search algorithm for the traveling salesman problem

C Wu, X Fu, J Pei, Z Dong - IEEE Access, 2021 - ieeexplore.ieee.org
The sparrow search algorithm (SSA) tends to fall into local optima and to have insufficient
stagnation when applied to the traveling salesman problem (TSP). To address this issue, we …

DCNN-GA: A deep neural net architecture for navigation of UAV in indoor environment

P Chhikara, R Tekchandani, N Kumar… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation,
agriculture, rescue operations, natural environment map**, and many other allied …

An IoT-enabled intelligent automobile system for smart cities

VG Menon, S Jacob, S Joseph, P Sehdev, MR Khosravi… - Internet of Things, 2022 - Elsevier
In our world of advancing technologies, automobiles are one industry where we can see
improved ergonomics and feature progressions. Artificial Intelligence (AI) integrated with …

DRLR: A deep-reinforcement-learning-based recruitment scheme for massive data collections in 6G-based IoT networks

T Li, W Liu, Z Zeng, NN **ong - IEEE Internet of Things journal, 2021 - ieeexplore.ieee.org
Recently, rapid deployment on the fifth-generation (5G) networks has brought great
opportunities for enabling data-intensive applications and brings an extending expectation …

An AI-enabled lightweight data fusion and load optimization approach for Internet of Things

MA Jan, M Zakarya, M Khan, S Mastorakis… - Future Generation …, 2021 - Elsevier
In the densely populated Internet of Things (IoT) applications, sensing range of the nodes
might overlap frequently. In these applications, the nodes gather highly correlated and …