内弹道多目标优化算法对比分析
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Comparative Analysis of Multiple Objective Optimization Algorithms for Interior Ballistics
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    摘要:

    为保证在威力不变的情况下,尽可能降低内弹道过程的最大膛压,建立基于NSGA-Ⅱ、CMOPSO、NSGA-Ⅲ 多目标内弹道优化算法,对其进行计算分析。以某无后坐发射系统为研究对象,选定设计变量与目标函数,对目标 函数进行无量纲化,对内弹道进行多目标优化,并对比3 种算法在内弹道优化过程中的优劣。结果表明:CMPSO 算 法具有最大的相对速度分布,NSGA-Ⅱ具有最大的相对压力跨度,而NSGA-Ⅲ具有最好的收敛性。

    Abstract:

    To guarantee in the case of constant power, as far as possible to reduce the internal ballistic process of maximum bore pressure, based on the NSGA-Ⅱ, CMOPSO, NSGA-Ⅲ multi-objective interior ballistic optimization algorithm, calculation and analysis for its. Taking a certain recoilless launch system as the research object, design variables and objective function were selected, the objective function was dimensionless, and the internal trajectory was optimized with multiple objectives, and the advantages and disadvantages of the three algorithms were compared. The results show that the CMPSO algorithm has the largest relative velocity distribution, and the NSGA-Ⅱ has a maximum relative pressure span, and the NSGA-Ⅲ also has the best convergence.

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引用本文

马 营.内弹道多目标优化算法对比分析[J].,2021,40(3).

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  • 收稿日期:2020-10-29
  • 最后修改日期:2020-12-10
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  • 在线发布日期: 2021-03-09
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