UAV ad hoc network routing algorithms in space–air–ground integrated networks: Challenges and directions
Y Lu, W Wen, KK Igorevich, P Ren, H Zhang, Y Duan… - Drones, 2023 - mdpi.com
With the rapid development of 5G and 6G communications in recent years, there has been
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
significant interest in space–air–ground integrated networks (SAGINs), which aim to achieve …
Cooperative trucks and drones for rural last-mile delivery with steep roads
J **ao, Y Li, Z Cao, J **ao - Computers & Industrial Engineering, 2024 - Elsevier
The cooperative delivery of trucks and drones promises considerable advantages in delivery
efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of …
efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of …
A three-phase heuristic for last-mile delivery with spatial-temporal consolidation and delivery options
The parcel demand in last-mile delivery increases sharply with the growth of e-commerce,
which has been accelerated by the COVID-19 pandemic. The current delivery scheme …
which has been accelerated by the COVID-19 pandemic. The current delivery scheme …
An improved variable neighborhood search algorithm embedded temporal and spatial synchronization for vehicle and drone cooperative routing problem with pre …
Drones are increasingly utilized for transportation reconnaissance due to their expansive
field of view, cost-effectiveness, and agility. They can pre-reconnaissance the traveling …
field of view, cost-effectiveness, and agility. They can pre-reconnaissance the traveling …
Facility location decisions for drone delivery with riding: A literature review
This study presents a comprehensive literature survey on facility location problems for drone
(uncrewed vehicle) delivery in situations where drones can ride in or on other vehicles. This …
(uncrewed vehicle) delivery in situations where drones can ride in or on other vehicles. This …
Time-dependent hydrogen fuel cell vehicle routing problem with drones and variable drone speeds
X Ren, H Fan, M Ma, H Fan, L Yue - Computers & Industrial Engineering, 2024 - Elsevier
This paper proposes a novel problem called the time-dependent hydrogen fuel cell vehicle
routing problem with drones and variable drone speeds (TDHFCVRP-D-VDS). In this …
routing problem with drones and variable drone speeds (TDHFCVRP-D-VDS). In this …
Optimal decision-making of post-disaster emergency material scheduling based on helicopter–truck–drone collaboration
Y Shi, J Yang, Q Han, H Song, H Guo - Omega, 2024 - Elsevier
In the last decades, natural disasters, such as earthquakes and landslides, have occurred
frequently, seriously threatening the safety of people's lives and property. How emergency …
frequently, seriously threatening the safety of people's lives and property. How emergency …
Development of a novel fuzzy hierarchical location-routing optimization model considering reliability
Background: This paper discusses the optimization of a novel fuzzy hierarchical location-
routing problem, taking into consideration reliability. The mathematical model presented …
routing problem, taking into consideration reliability. The mathematical model presented …
Hybrid truck-drone delivery system with multi-visits and multi-launch and retrieval locations: Mathematical model and adaptive variable neighborhood search with …
Drones have recently been suggested as a means of performing last-mile deliveries, as they
have several advantages compared to traditional delivery vehicles. A recent research …
have several advantages compared to traditional delivery vehicles. A recent research …
Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints
Abstract Heterogeneous Vehicle Routing aims to construct routes for various vehicles while
optimizing an objective with a series of constraints. However, existing deep reinforcement …
optimizing an objective with a series of constraints. However, existing deep reinforcement …