The task assignment issue and the path planning problem of Multiple Unmanned Aerial
Vehicles (Multi-UAV) are collectively referred to as the Mission Planning Problem (MPP) …

Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …

In this paper, we propose an iterative strategy to enhance the performance of task
assignment and path planning in applications of distributed multiple unmanned aerial …

Cooperative multiple task assignment problem is an essential issue in the collaboration of
multiple unmanned aerial vehicles (UAVs). Consensus-based bundle algorithm (CBBA) is a …

Consensus-based bundle algorithm (CBBA) is a decentralized task allocation algorithm that
can produce feasible and conflict-free task assignment solution for multi-UAV system in the …

In recent years, the emergence of flying ad hoc networks (FANETs) with multiple unmanned
aerial vehicles (UAVs) has made it possible to effectively perform not only the far-off …

This paper presents an extension to a decentralized multi-UAV task allocation algorithm,
consensus-based bundle algorithm (CBBA), to improve the communication efficiency in the …

Existing task allocation algorithms often fail to consider communication load and do not meet
the scalability requirements of large-scale systems in practical applications. Furthermore …

The multi-AUV hunting problem is one of the key issues in multi-robot system research. In
order to hunt the target efficiently a new hunting algorithm based on a bio-inspired neural …

The swarm cognitive behavior of bees readily translates to swarm intelligence with “social
cognition,” thus giving rise to the rapid promotion of survival skills and resource allocation …