[HTML][HTML] Differential evolution: A recent review based on state-of-the-art works
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin's theory of
evolution and has been studied extensively to solve different areas of optimisation and …
evolution and has been studied extensively to solve different areas of optimisation and …
A review on swarm intelligence and evolutionary algorithms for solving the traffic signal control problem
The rapid development of urban cities coupled with the rise in population has led to an
exponentially growing number of vehicles on the roads for the latter to commute. This is …
exponentially growing number of vehicles on the roads for the latter to commute. This is …
Injury severity prediction of traffic crashes with ensemble machine learning techniques: A comparative study
A better understanding of injury severity risk factors is fundamental to improving crash
prediction and effective implementation of appropriate mitigation strategies. Traditional …
prediction and effective implementation of appropriate mitigation strategies. Traditional …
Boosted genetic algorithm using machine learning for traffic control optimization
T Mao, AS Mihăită, F Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traffic control optimization is a challenging task for various traffic centers around the world
and the majority of existing approaches focus only on developing adaptive methods for …
and the majority of existing approaches focus only on developing adaptive methods for …
An efficient algorithm for optimal route node sensing in smart tourism Urban traffic based on priority constraints
X Ding, R Yao, E Khezri - Wireless Networks, 2023 - Springer
The public transportation system is now dealing with a number of problems brought on by
the sharp increase in automobile ownership in cities as well as the buildup of vehicles as a …
the sharp increase in automobile ownership in cities as well as the buildup of vehicles as a …
Parameters identification of a permanent magnet dc motor: A review
MF Fazdi, PW Hsueh - Electronics, 2023 - mdpi.com
Since permanent magnet direct current (DC) motors are mainly used in various industrial
automation applications, the demand for electric motors is increasing rapidly. However, in …
automation applications, the demand for electric motors is increasing rapidly. However, in …
A TLBO-Tuned neural processor for predicting heating load in residential buildings
Recent studies have witnessed remarkable merits of metaheuristic algorithms in
optimization problems. Due to the significance of the early analysis of the thermal load in …
optimization problems. Due to the significance of the early analysis of the thermal load in …
On the potential impacts of smart traffic control for delay, fuel energy consumption, and emissions: An NSGA-II-based optimization case study from Dhahran, Saudi …
M Al-Turki, A Jamal, HM Al-Ahmadi, MA Al-Sughaiyer… - Sustainability, 2020 - mdpi.com
Intelligent traffic control at urban intersections is vital to ensure efficient and sustainable
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …
traffic operations. Urban road intersections are hotspots of congestion and traffic accidents …
Public preferences towards car sharing service: the case of Djibouti
Transportation demand management is a successful complement to urban infrastructure.
The emergence of shared mobility strategies such as car sharing offers sustainable mobility …
The emergence of shared mobility strategies such as car sharing offers sustainable mobility …
Exploring the injury severity risk factors in fatal crashes with neural network
A better understanding of circumstances contributing to the severity outcome of traffic
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …
crashes is an important goal of road safety studies. An in-depth crash injury severity analysis …