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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

Luo, He
Hu, Xiaoxuan
Wang, Guoqiang

Paperback

Series: Springerbriefs in Optimization

General ComputersGeneral MathematicsProbability & Statistics

ISBN10: 3032058155
ISBN13: 9783032058157
Publisher: Springer
Published: Jan 3 2026
Pages: 114
Weight: 0.44
Height: 0.28 Width: 6.18 Depth: 9.23
Language: English

This book provides the current research on optimization methods for cooperative task allocation problems in drone fleets. Drone fleets, with their advantages of low cost, small size, and strong maneuverability, have been widely used in logistics, inspections, and other fields. However, it is a great challenge to cooperative task allocation when drone fleets are in large-scale tasks with task time constraints, temporal relationships, and performance requirements. To avoid the waste of resources and the conflicts of task, time, and space in drone fleets, it is important to ensure scientific and efficient task allocation in drone fleets. Various optimization problems in practical application scenarios are presented, including the heuristic method for task allocation in multirotor drones under wind influence, a multi-objective optimization method for task allocation in heterogeneous drones, a game-theoretic method for task allocation in the drone fleet, and a cooperative task allocation method for drone fleets with the assistance of a vehicle.

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