Over the past decade, unmanned aerial vehicles (UAVs) have demonstrated increasing
promise. In this context, we provide a review on swarm intelligence algorithms that play an …

Due to their strong risk tolerance, low manufacturing cost, and good maneuverability,
unmanned aerial vehicles (UAVs) have been widely used in various fields. Among related …

Abstract Unmanned Aerial Vehicle (UAV) swarms are attracting more and more research
attention due to their low cost and high efficiency. Task allocation is a highly important …

The limited time duration and spatial instability of TSTs increase the difficulty of mission
planning for unmanned aerial vehicle (UAV) formations, which in turn affects the task …

Multi-UAV systems are essential in accomplishing specific tasks across various research
applications. UAVs can be used in search and rescue (SR), which requires them to explore …

Dynamic task allocation of unmanned aerial vehicle swarms for ground targets is an
important part of unmanned aerial vehicle (UAV) swarms task planning and the key …

Unmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to
research more and improve the task allocation methods used. In this survey, the main …

The proposed study introduces innovative Maclaurin symmetrical mean aggregation
operators (MSMAO) in picture fuzzy multiple-attribute group decision-making. These …

The plant protection unmanned aerial vehicle (UAV) scheduling model is of great
significance to improve the operation income of UAV plant protection teams and ensure the …

In this work, aiming at the problem of cooperative task assignment for multiple unmanned
aerial vehicles (UAVs) in actual combat, battlefield tasks are divided into reconnaissance …