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一种基于蚁群算法的准动态防空武器分配算法 被引量:9

A Quasi-dynamic Defense Weapon Assignment Algorithm Based on Ant-colony Optimization
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摘要 武器目标分配问题是一个典型的限制组合优化问题,旨在得到在整个防御阶段中针对目标函数的最优武器分配方案。分配算法主要分为静态和动态两大类。针对传统静态分配模型中存在的几点问题,提出了基于时间窗的准动态武器目标分配算法,该算法综合考虑拦截概率、拦截时间和武器耗费多个优化指标,并将该算法推广至多类防空武器的优化分配中。通过大量实验验证,该算法在性能、时间复杂度等方面均有较大优势,并且能较好地适应战场态势的变化,及时调整分配方案,具有很好的实用性。 Weapon-target assignment (WTA) is a typical constrained combinatorial optimization problem ,subject to maximize the total value of surviving assets threatened by hostile targets through all defense stages. It includes two versions-static WTA and dynamic WTA. A quasi-dynamic WTA based on time window is proposed in this paper. The algorithm comprehensively take kill probability, kill time and weapon consume into consideration. And it has been applied to multi-channel defense weapon. A comparison of the proposed algorithm with several existing search approaches shows that the proposed algorithm outperforms its competitors and it is more adaptable on WTA problems.
出处 《火力与指挥控制》 CSCD 北大核心 2016年第9期112-117,共6页 Fire Control & Command Control
关键词 武器目标分配 武器-目标时间窗 蚁群算法 weapon-target assignment, weapon-target time window, ant-colony optimization
作者简介 张彦芳(1987-),女,山西大同人,硕士研究生。研究方向:指挥控制与辅助决策。
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  • 1HOSEIN P A,ATHANS M. Preferential defense strategies. Part h The static case [J].MIT Laboratory for Information and decision Systems with partial support, Cambridge, MA, Tech. Rep. LIPS-P-2002,1990.
  • 2KARASAKAL O. Air defense missile-target allocation mod-els for a naval task group. [J]. Computers & Operations Re- search, 2008,35(6) : 1759 - 1770.
  • 3BLODGETI" D E,GENDREAU M,GUERTIN F,et al. A tabu search heuristic for resource management in naval warfare[J]. Journal of Heuristics, 2003,9 (2) : 145-169 (25).
  • 4KHOSLA D. Hybrid genetic approach for the dynamic weapon-target allocation problem [J]. Proceedings of SPIE - The International Society for Optical Engineering,2001: 244-259.
  • 5ZHIHUA S, FASHUN Z, DUOLIN Z. A heuristic genetic al- gorithm for solving constrained Weapon-Target Assignment problem [C]//IEEE International Conference on Intelligent Computing & Intelligent Systems. IEEE, 2009 : 336 - 341.
  • 6BO Z,FENG X Z,JIA H W. A novel approach to solving weapon-target assignment problem based on hybrid particle swarm optimization algorithm [J]. International Conference on Electronic and Mechanical Engineering and Information Technology, 2011 : 1385 - 1387.
  • 7ZENG X,ZHU Y,NAN L,et al. Solving weapon-target as- signment problem using discrete particle swarm optimization [C]//World Congress on Intelligent Control & Automation. IEEE, 2006: 3562 - 3565.
  • 8XIN B, CHEN J, ZHANG J, et al. Efficient decision makings for dynamic weapon-target assignment by virtual permutation and tabu search heuristics [J]. Systems Man & Cybernetics Part C Applications & Reviews IEEE Transactions on,2010,40(6):649 - 662.
  • 9WACHOLDER E,WACHOLDER E. A neural net- work-based optimization algorithm for the static weapon-target assignment problem [J]. Informs Journal on Computing, 1989,1 (4) : 232-246.
  • 10BISHT S. Hybrid genetic-simulated annealing algorithm for optimal weapon allocation in multilayer defence scenario[J]. Defence Science Journal, 2004,45 ( 3 ) : 395 -405.

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