An efficient clonal selection algorithm to solve dynamicweapon-target assignment game model in UAV cooperative aerial combat

Yu Wang, Weiguo Zhang, Yong Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of the 35th Chinese Control Conference, CCC 2016
EditorsJie Chen, Qianchuan Zhao, Jie Chen
PublisherIEEE Computer Society
Pages9578-9581
Number of pages4
ISBN (Electronic)9789881563910
DOIs
StatePublished - 26 Aug 2016
Event35th Chinese Control Conference, CCC 2016 - Chengdu, China
Duration: 27 Jul 201629 Jul 2016

Publication series

NameChinese Control Conference, CCC
Volume2016-August
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference35th Chinese Control Conference, CCC 2016
Country/TerritoryChina
CityChengdu
Period27/07/1629/07/16

Keywords

  • clonal selection algorithm
  • DWTA game model
  • Nash equilibrium
  • UAV cooperative aerial combat

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