系统工程与电子技术 ›› 2019, Vol. 41 ›› Issue (10): 2252-2259.doi: 10.3969/j.issn.1001-506X.2019.10.14

• 系统工程 • 上一篇    下一篇

面向多目标优化火力目标分配问题的前瞻式边际贪婪算法

褚骁庚, 马政伟, 陈行军   

  1. 海军大连舰艇学院作战软件与仿真研究所, 辽宁 大连 116018
  • 出版日期:2019-09-25 发布日期:2019-09-24

Look-ahead margin-greedy constructive algorithm for the multi-objective optimization of the weapon target assignment problem

CHU Xiaogeng, MA Zhengwei, CHEN Xingjun   

  1. Operational Software and Simulation Research Institute, Dalian Navy Academy, Dalian 116018, China
  • Online:2019-09-25 Published:2019-09-24

摘要: 针对现有面向多目标优化的火力目标分配(weapon target assignment,WTA)问题的求解算法相对较少、有关算法的求解效能不稳定等特点,提出了前瞻式边际贪婪构造(look-ahead margin-greedy constructive,LAMGC)算法。首先,对火力目标分配问题的多目标优化模型进行了深入分析,通过定理证明优化了LAMGC算法的求解效率;然后,明确了LAMGC算法具体的求解步骤,分析了算法计算复杂度;最后,以超体积和计算时间为评价指标,通过实验验证了LAMGC算法的合理性和有效性,LAMGC算法很好地满足了轻量型智能作战平台的使用需求。实验数据显示,相比于求解此类问题的有关算法,LAMGC算法具有更高的求解效率、求解质量和求解稳定性。

关键词: 火力目标分配, 多目标优化, 前瞻式边际贪婪构造算法, 超体积

Abstract: Given that there are few algorithms to solve the multi-objective optimization module of the weapon target assignment (WTA) problem, and the performance of the algorithms is unstable, a look-ahead margin-greedy constructive (LAMGC), algorithm is proposed. Firstly, the efficiency of the LAMGC algorithm is improved by a series of theorems, based on the analysis of the problem. And then, the detailed steps and pseudo code of the LAMGC algorithm are given. Finally, the effectiveness and efficiency of the algorithm are verified by experimental instances with the hyper volume and algorithm run time as the evaluation indices. The experiment data proves that the LAMGC algorithm could meet the requirement of the lightweight intelligent combat plarform. Experimental data also shows that the LAMGC algorithm has higher solving efficiency, solving quality and solving stability, compared with the current intelligent optimization algorithms for the problem.

Key words: weapon target assignment (WTA), multi-objective optimization, look-ahead margin-greedy constructive (LAMGC) algorithm, hyper volume