现代防御技术 ›› 2022, Vol. 50 ›› Issue (3): 90-96.DOI: 10.3969/j.issn.1009-086x.2022.03.012

• 测试、发射技术 • 上一篇    下一篇

基于粗糙集和遗传算法的作战试验指标集优化方法

陈小卫1, 杨超1, 季自力2   

  1. 1.航天工程大学,北京 102206
    2.战略支援部队某部,北京 100084
  • 收稿日期:2021-09-21 修回日期:2022-02-19 出版日期:2022-06-28 发布日期:2022-07-01
  • 作者简介:陈小卫(1982-),男,湖北荆门人。副教授,博士,研究方向为试验鉴定。

Optimization Method of Operational Test Index Set Based on Rough Set and Genetic Algorithm

Xiao-wei CHEN1, Chao YANG1, Zi-li JI2   

  1. 1.Space Engineering University, Beijing 102206, China
    2.A department of Strategic Support Force, Beijing 100084, China
  • Received:2021-09-21 Revised:2022-02-19 Online:2022-06-28 Published:2022-07-01

摘要:

作战试验指标体系优化对简化试验科目、节约试验资源、缩短试验周期具有重要作用。针对作战试验体系中大量定性定量指标共存问题,提出了一种粗糙集和遗传算法的作战试验指标优化方法。基于作战试验指标体系框架,构建了作战试验指标体系决策信息表,采用粗糙集和遗传算法对其属性约简,得到简化的指标集。结合某高炮武器作战试验中火力运用效能试验案例,验证了方法的有效性。

关键词: 武器装备, 作战试验, 指标优化, 粗糙集, 遗传算法, 属性约简

Abstract:

The optimization of operational test indexes plays an important role in simplifying test subjects, saving test resources and shortening test cycle. For the coexistence of a large number of qualitative and quantitative indicators in the operational test system, an optimization method of operational test index based on rough set and genetic algorithm is proposed. Based on the initial frame of operational test index system, the decision information table of operational test index system is built, and its attributes are reduced by rough set and genetic algorithm to obtain a simplified index set. The method is verified by a fire operational effectiveness test case of anti-aircraft gun weapon.

Key words: weapon equipment, operational test, index optimization, rough set, genetic algorithm, attribute reduction

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