Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

He LuoProfessor and Ph.D. advisor at Hefei University of Technology, focusing on research in key technologies for drone fleet cooperative optimization and intelligent decision-making. He has published over 70 academic papers, received 3 U.S. patents, more than 50 Chinese national invention patents, and holds over 10 software copyrights.Xiaoxuan HuProfessor and Ph.D. advisor at Hefei University of Technology, primarily engaged in research on system modeling and optimization, as well as aerospace system management. He has published over 70 academic papers in domestic and international journals and holds more than 100 authorized invention patents.Guoqiang WangAssociate Professor and Ph.D. supervisor at Hefei University of Technology. His research areas include the generation of communication topology and dynamic optimization for drone fleets, as well as cooperative path planning for vehicles and UAVs. He has published over 20 academic papers, received 2 U.S. patents and 27 Chinese national invention patents as the first inventor, and holds 3 software copyrights.Yingying MaPostdoctoral researcher at Hefei University of Technology, specializing in research on drone fleet task allocation and target assignment methods, focusing on the design of heuristic and metaheuristic algorithms to effectively optimize task efficiency and coordination in complex systems.

• .- Chapter1-Overview..- Chapter2-Heuristic-method for taskallocation in multirotor drones under-wind-influence..- Chapter3-Multi-Objective optimization method for task allocation in heterogeneous drones..- Chapter4-Game theoretic method for task allocation in the drone fleet..- Chapter5-Cooperative task allocation method for drone fleets with assistance of vehicle..- Chapter6-Summary.