Platzhalterbild für He Luo

He Luo

He Luo



Professor 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 Hu



Professor 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 Wang



Associate 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 Ma



Postdoctoral 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.

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Zuletzt erschienen

Optimization Methods for Cooperative Task Allocation Problems in Drone Fleets

He Luo

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...
Format
E-Book
Erscheinung
21.12.2025
Preis
€53,49
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