期刊文献+

多机协同攻击逻辑的蚁群算法研究 被引量:6

On ant colony algorithm for multi-aircraft cooperative attacking logic
在线阅读 下载PDF
导出
摘要 针对协同空战中多目标的攻击逻辑问题,首先以攻击优势和目标战役价值为准则建立攻击逻辑决策模型,然后结合蚁群算法的思想,分析了蚁群算法的状态转移、局部调整和全局调整规则,给出攻击逻辑的求解算法,最后以具体仿真算例,证明文中给出的算法能有效地完成多机协同攻击逻辑决策任务。 The focus of this paper is attacking logic decision for multi - target attacking in cooperative air combat. First, taking attacking dominance and the value of target in battle as the criterion, we built a model of multi - aircraft cooperative attacking logic decision. Then, by use of the idea of the ant colony algorithm, we analyzed the rules for state transfer, local adjustment and global adjustment for ant colony, and presented the algorithm of attacking logic. Finally, an application example is given, and the result shows that the method can be used for making attacking logic decision efficiently in multi - aircraft cooperative combat.
出处 《电光与控制》 北大核心 2006年第6期43-45,共3页 Electronics Optics & Control
基金 空军装备部科研基金资助
关键词 攻击逻辑 蚁群算法 攻击优势 目标战役价值 attack logic ant colony algorithm attack dominance target battle value
  • 相关文献

参考文献7

二级参考文献65

  • 1王凤山,申卯兴.防空战略作战的势战律建模研究[J].空军工程大学学报(自然科学版),2000,1(4):80-82. 被引量:18
  • 2张红 丁全心.多机空战的战术决策研究[A]..火力与指挥控制研究会学术交流年会论文集[C].,1999.110-114.
  • 3聂成.兵力分配的优化模型与方法[J].西北大学学报(自然科学版),1998,28(10):415-417.
  • 4Barto A G, Sutton R S, Brower P S, Associative search network: A reinforcement learning associative memory[ J ]. Biological Cybem,1981,40(2): 201-211.
  • 5Coloni A, Dorigo M, Maniezzo V, Ant system: Optimization by a colony of cooperating agent[J].IEEE Trans on Systems,Man and Cybemetics-Part B:Cybemetcs.1996,26(1):29-41
  • 6Dorigo M,Gambardella L M. Ant colony system: A cooperative learning approach to the tavelling salesman Problem[J].IEEE Trans on Evolutionary Computation.1996,1(1):53-66
  • 7Dorigo M, Maniezzo V, Colorni A. The ant system: optimization by a colony of cooperating agents[J]. IEEE Trans. on Systems, Man, and Cybernetics, Part-B, 1996, 26(1):1 - 13.
  • 8McMullen P R. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives [ J]. Artificial Intelligence in Engineering, 2001,15(3) :309 -317.
  • 9Coksmi A, Dorigo M, Maniezzo V, et al. Ant system for jobshop scheduling [J]. Belgian Journal Operations Research Statistic Computation Science, 1994,34 (11) :39 - 53.
  • 10Maniezzo V, Carbonaro A. An ant heuristic for the frequency assignment problem [ J ]. Future Generation Computer System,2000,16(8) :927 -935.

共引文献519

同被引文献41

引证文献6

二级引证文献26

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部