@inproceedings{36799bb2fdf34eb79886fa79ccaa9877,
title = "An efficient clonal selection algorithm to solve dynamicweapon-target assignment game model in UAV cooperative aerial combat",
abstract = "The environment of UAV cooperative aerial combat is complex and changeable, with strong antagonism. Therefore, high accuracy and real-time are required. A multi-combat step UAV dynamic weapon-target assignment (DWTA) game model is established with the survival probability and weapons consumption factors for warring parties. Also the solving method of bimatrix game Nash equilibrium point is applied to the model. A solving method based on clonal selection algorithm is proposed. The algorithm considers both the diversity of population and the convergence speed. Simulation results show the Nash equilibrium solution obtained by the algorithm is more accurate, which ensures the real-time and efficiency.",
keywords = "clonal selection algorithm, DWTA game model, Nash equilibrium, UAV cooperative aerial combat",
author = "Yu Wang and Weiguo Zhang and Yong Li",
note = "Publisher Copyright: {\textcopyright} 2016 TCCT.; 35th Chinese Control Conference, CCC 2016 ; Conference date: 27-07-2016 Through 29-07-2016",
year = "2016",
month = aug,
day = "26",
doi = "10.1109/ChiCC.2016.7554878",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "9578--9581",
editor = "Jie Chen and Qianchuan Zhao and Jie Chen",
booktitle = "Proceedings of the 35th Chinese Control Conference, CCC 2016",
}