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Optimization methods for cooperative task allocation problems in drone fleets

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Optimization methods for cooperative task allocation problems in drone fleets/ by He Luo ... [et al.].
其他作者:	Luo, He.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	vii, 114 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
標題:	Drone aircraft - Control systems. -
電子資源:	https://doi.org/10.1007/978-3-032-05813-3
ISBN:	9783032058133

Optimization methods for cooperative task allocation problems in drone fleets
Optimization methods for cooperative task allocation problems in drone fleets[electronic resource] /by He Luo ... [et al.]. - Cham :Springer Nature Switzerland :2025. - vii, 114 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in optimization,2191-575X. - SpringerBriefs in optimization..

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.

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. This book provides a pedagogical lesson for students, particularly Ph.D. students in operational research, but also acts as a research reference for senior researchers. Non-experts who are interested in the management of drone fleets can also gain interesting insights from this book.

ISBN: 9783032058133

Standard No.: 10.1007/978-3-032-05813-3doiSubjects--Topical Terms:

671224
Drone aircraft
--Control systems.

LC Class. No.: TL589.4

Dewey Class. No.: 629.13339

Optimization methods for cooperative task allocation problems in drone fleets
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520 $a 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. This book provides a pedagogical lesson for students, particularly Ph.D. students in operational research, but also acts as a research reference for senior researchers. Non-experts who are interested in the management of drone fleets can also gain interesting insights from this book.
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