@inproceedings{ec0a35f241194a26a24fae93f85fd75b,
title = "Effectiveness Evaluation Method of the Unmanned Aerial Vehicle Swarm Considering Mission Process",
abstract = "Unmanned aerial vehicle (UAV) swarms need to exert their mission capabilities to complete a variety of collaborative missions in complex and changeable mission environment, which put forward higher requirements for the effectiveness evaluation of UAV swarms. Therefore, a UAV swarm effectiveness evaluation method considering mission process is proposed in this paper. This method establishes a network indicators system based on the capability generation mechanism of the UAV swarm system, models the UAV swarm through complex network model, studies the generation mechanism of emerging capability combined with mission process analysis, and then evaluates the UAV swarm effectiveness. The effectiveness indicators system and evaluation method can provide quantitative basis for the UAV swarm optimization strategy, and lay a reliable foundation for improving mission execution method and mission effect.",
keywords = "Complex networks, Effectiveness evaluation, Mission process, Unmanned Aerial Vehicle (UAV)",
author = "Yu Zhang and Xiaohong Wang and Lili Zheng",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; 5th Chinese Conference on Swarm Intelligence and Cooperative Control, CCSICC 2021 ; Conference date: 19-01-2022 Through 22-01-2022",
year = "2023",
doi = "10.1007/978-981-19-3998-3\_80",
language = "英语",
isbn = "9789811939976",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "836--846",
editor = "Zhang Ren and Yongzhao Hua and Mengyi Wang",
booktitle = "Proceedings of 2021 5th Chinese Conference on Swarm Intelligence and Cooperative Control",
address = "德国",
}