@inproceedings{7f0a07807a9a46d98a053d6f948bc293,
title = "Weapon Target Assignment Based on Improved Fireworks Algorithm",
abstract = "Aiming at the complex multi-constraint weapon target assignment problem, an improved fireworks algorithm is proposed in this paper, which introduces reverse learning strategy to the traditional method. The reverse learning strategy enables the algorithm to have greater exploration and mining ability. Simulation results show that the proposed algorithm has faster calculation speed and stronger robust capability to avoid falling into the local convergence than the conventional ones.",
keywords = "Fireworks algorithm, Multiple objective optimization, Weapon target assignment",
author = "Yaohong Qu and Wenlong Wang and Kai Wang and Qingyu Du",
note = "Publisher Copyright: {\textcopyright} 2022, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; International Conference on Guidance, Navigation and Control, ICGNC 2020 ; Conference date: 23-10-2020 Through 25-10-2020",
year = "2022",
doi = "10.1007/978-981-15-8155-7_217",
language = "英语",
isbn = "9789811581540",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "2587--2597",
editor = "Liang Yan and Haibin Duan and Xiang Yu",
booktitle = "Advances in Guidance, Navigation and Control - Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020",
}