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 …

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 …

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 …

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

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 …

In recent years, the application of multi-UAV cooperation systems has expanded across
various domains. Enhancing the coordination performance of multi-UAV systems can be …

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 …

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 research on multi-UAV reconnaissance task allocation is of great significance for both
military and civilian fields. Existing methods simplify targets as points and ignore the …