Multi-objective Optimization and Multi-attribute Decision Making Method of UAV Swarm Based on Elastic Network

Sie sind hier: Homepage > Suche

Multi-objective Optimization and Multi-attribute Decision Making Method of UAV Swarm Based on Elastic Network

Duan, Ting / Huang, Meigeng / Wang, Weiping / Li, Xiaobo / Wang, Tao / Li, Bing

As the situation of unmanned combat changes rapidly, it is necessary to carry out dynamic task planning. How to conduct dynamic task scheduling for distributed intelligent unmanned combat systems has become a hot and difficult problem. In order to solve this problem, this paper proposes a method of fusing multi-attribute decisions under the framework of multi-objective optimization by using the characteristics of elastic networks, which can generate scheduling policies quickly when the execution sequence of input tasks is finite. Secondly, a multi-attribute decision-making method combining filter and Pearce correlation coefficient is set up to select the optimal compromise scheme on the Pareto surface. Finally, an experimental case of UAV group rescue is designed to obtain the Pareto front of the problem, and the optimal compromise scheme is selected on the Pareto surface to verify the effectiveness of the proposed method.

Zugriff

Zugriff prüfen

Verfügbarkeit in meiner Bibliothek prüfen

Bestellung bei Subito €

Exportieren, teilen und zitieren

Dokumentinformationen

Titel :

Multi-objective Optimization and Multi-attribute Decision Making Method of UAV Swarm Based on Elastic Network

Weitere Titelangaben:

Lect. Notes Electrical Eng.

Beteiligte:

Wu, Meiping (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Cheng, Jin (Herausgeber:in) / Duan, Ting (Autor:in) / Huang, Meigeng (Autor:in) / Wang, Weiping (Autor:in) / Li, Xiaobo (Autor:in) / Wang, Tao (Autor:in) / Li, Bing (Autor:in)

Kongress:

International Conference on Autonomous Unmanned Systems ; 2021 ; Changsha, China September 24, 2021 - September 26, 2021

Erschienen in:

Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021) ; Kapitel : 141 ; 1409-1426

Lecture Notes in Electrical Engineering ; 861

Erscheinungsdatum :

2022-03-18

Format / Umfang :

18 pages

ISBN :

978-981-16-9492-9 , 978-981-16-9491-2

ISSN :