A review on genetic algorithm: past, present, and future
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 …
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 …
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
With the potential of implementing computing-intensive applications, edge computing is
combined with digital twinning (DT)-empowered Internet of vehicles (IoV) to enhance …
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 …
elaborated. The method is based on the combination of asymptotic homogenization …
A novel algorithm for capacitated vehicle routing problem for smart cities
Smart logistics is an indispensable building block in smart cities development that requires
solving the challenge of efficiently serving the demands of geographically distributed …
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 …
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
The applications of unmanned aerial vehicles (UAVs) in military, intelligent transportation,
agriculture, rescue operations, natural environment map**, and many other allied …
agriculture, rescue operations, natural environment map**, and many other allied …
An IoT-enabled intelligent automobile system for smart cities
In our world of advancing technologies, automobiles are one industry where we can see
improved ergonomics and feature progressions. Artificial Intelligence (AI) integrated with …
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 …
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
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 …
might overlap frequently. In these applications, the nodes gather highly correlated and …