A hybrid improved manta ray foraging optimization with Tabu search algorithm for solving the UAV placement problem in smart cities
The concept of smart cities is to enhance the life quality of residents and provide efficient
services by integrating advanced information and communication technologies, autonomous …
services by integrating advanced information and communication technologies, autonomous …
A novel hybrid path planning method for sweep coverage of multiple UAVs
R Özdağ - The Journal of Supercomputing, 2025 - Springer
Sweep coverage (SC) is an NP-hard problem that needs to be solved with a small number of
mobile sensors (sensor nodes) to monitor or observe targets in wireless sensor networks …
mobile sensors (sensor nodes) to monitor or observe targets in wireless sensor networks …
An adaptive local search-based arithmetic optimization algorithm for unmanned aerial vehicle placement
H Emami - The Journal of Supercomputing, 2025 - Springer
A mobile ad hoc network (MANET) comprises multiple autonomous unmanned aerial
vehicles (UAVs) connected in an ad hoc manner. MANETs are key components in achieving …
vehicles (UAVs) connected in an ad hoc manner. MANETs are key components in achieving …
3D Placement Optimization in UAV-Enabled Communications: A Systematic Map** Study
Unmanned aerial vehicles (UAVs) have seen remarkable improvements in their flight
capabilities and computational power. Their applications span various domains, such as …
capabilities and computational power. Their applications span various domains, such as …
Reinforcement Learning Placement Algorithm for Optimization of UAV Network in Wireless Communication
Unmanned aerial vehicles (UAVs) or drones have attracted much attention in wireless
communication networks because of their agility, unique flexibility, low cost of …
communication networks because of their agility, unique flexibility, low cost of …
Maximizing UAV Coverage in Maritime Wireless Networks: A Multiagent Reinforcement Learning Approach
Q Wu, Q Liu, Z Wu, J Zhang - Future Internet, 2023 - mdpi.com
In the field of ocean data monitoring, collaborative control and path planning of unmanned
aerial vehicles (UAVs) are essential for improving data collection efficiency and quality. In …
aerial vehicles (UAVs) are essential for improving data collection efficiency and quality. In …
An Enhanced White Shark Optimization Algorithm for Unmanned Aerial Vehicles Placement
In this chapter, we propose an Elite Opposition-Based White Shark Optimization (ELWSO)
Algorithm, for tackling the Unmanned Aerial Vehicles (UAVs) Placement problem in smart …
Algorithm, for tackling the Unmanned Aerial Vehicles (UAVs) Placement problem in smart …