Mobile edge computing and machine learning in the internet of unmanned aerial vehicles: a survey
Unmanned Aerial Vehicles (UAVs) play an important role in the Internet of Things and form
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
the paradigm of the Internet of UAVs, due to their characteristics of flexibility, mobility, and …
[HTML][HTML] A comprehensive survey on data aggregation techniques in UAV-enabled Internet of things
In recent years, unmanned aerial vehicles (UAVs) have been used to extend the Internet of
things (IoT) framework owing to their vast applications, monitoring and surveillance …
things (IoT) framework owing to their vast applications, monitoring and surveillance …
Designing a sustainable-resilient-responsive supply chain network considering uncertainty in the COVID-19 era
Effective supply chain management is crucial for economic growth, and sustainability is
becoming a key consideration for large companies. COVID-19 has presented significant …
becoming a key consideration for large companies. COVID-19 has presented significant …
A survey on resource management in joint communication and computing-embedded SAGIN
The advent of the 6G era aims for ubiquitous connectivity, with the integration of non-
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
terrestrial networks (NTN) offering extensive coverage and enhanced capacity. As …
Multi-objective deep reinforcement learning for computation offloading in UAV-assisted multi-access edge computing
X Liu, ZY Chai, YL Li, YY Cheng, Y Zeng - Information Sciences, 2023 - Elsevier
Unmanned aerial vehicle-assisted multi-access edge computing (UAV-MEC) plays an
important role in some complex environments such as mountainous and disaster areas …
important role in some complex environments such as mountainous and disaster areas …
[HTML][HTML] Solving an energy resource management problem with a novel multi-objective evolutionary reinforcement learning method
GMC Leite, S Jiménez-Fernández… - Knowledge-Based …, 2023 - Elsevier
Microgrids have become popular candidates for integrating diverse energy sources into the
power grid as means of reducing fossil fuel usage. Energy Resource Management (ERM) is …
power grid as means of reducing fossil fuel usage. Energy Resource Management (ERM) is …
Reducing idleness in financial cloud services via multi-objective evolutionary reinforcement learning based load balancer
In recent years, various companies have started to shift their data services from traditional
data centers to the cloud. One of the major motivations is to save on operational costs with …
data centers to the cloud. One of the major motivations is to save on operational costs with …
HPDE: A dynamic hierarchical population based differential evolution with novel diversity metric
Z Meng, Q Zhang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Differential Evolution (DE) is one of the most effective methods for single-objective numerical
optimization, however, the former state-of-the-art DE variants ignore the huge differences …
optimization, however, the former state-of-the-art DE variants ignore the huge differences …
An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network
Abstract Vehicular Edge Computing (VEC) provides flexible distributed computing paradigm
for vehicular network through computation offloading. With the advent of a growing of …
for vehicular network through computation offloading. With the advent of a growing of …
Profit-aware cooperative offloading in uav-enabled mec systems using lightweight deep reinforcement learning
In mobile edge computing (MEC) systems, unmanned aerial vehicles (UAVs) facilitate edge
service providers (ESPs) offering flexible resource provisioning with broader communication …
service providers (ESPs) offering flexible resource provisioning with broader communication …