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Genetic Algorithm-Based Variable Value Control Method for Solving the Ground Target Attacking Weapon-Target Allocation Problem

机译：基于遗传算法的变量值控制方法求解地面目标攻击武器目标分配问题

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摘要

Key ground targets and ground target attacking weapon types are complex and diverse; thus, the weapon-target allocation (WTA) problem has long been a great challenge but has not yet been adequately addressed. A timely and reasonable WTA scheme not only helps to seize a fleeting combat opportunity but also optimizes the use of weaponry resources to achieve maximum battlefield benefits at the lowest cost. In this study, we constructed a ground target attacking WTA (GTA-WTA) model and designed a genetic algorithm-based variable value control method to address the issue that some intelligent algorithms are too slow in resolving the problem of GTA-WTA due to the large scale of the problem or are unable to obtain a feasible solution. The proposed method narrows the search space and improves the search efficiency by constraining and controlling the variable value range of the individuals in the initial population and ensures the quality of the solution by improving the mutation strategy to expand the range of variables. The simulation results show that the improved genetic algorithm (GA) can effectively solve the large-scale GTA-WTA problem with good performance.
机译：关键地面目标和地面目标攻击武器类型复杂多样。因此，武器目标分配（WTA）问题长期以来一直是一个巨大的挑战，但尚未得到充分解决。及时合理的WTA计划不仅有助于抓住转瞬即逝的战斗机会，而且可以优化武器资源的利用，从而以最低的成本获得最大的战场收益。在这项研究中，我们构建了地面目标攻击WTA（GTA-WTA）模型，并设计了一种基于遗传算法的变量值控制方法，以解决某些智能算法由于速度过快而无法解决GTA-WTA问题的问题。问题规模大或无法获得可行的解决方案。所提出的方法通过限制和控制初始种群中个体的变量值范围来缩小搜索空间并提高搜索效率，并通过改进变异策略以扩大变量范围来确保解决方案的质量。仿真结果表明，改进的遗传算法可以有效地解决大规模的GTA-WTA问题。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第4期|6761073.1-6761073.9|共9页
  • 作者

    Wang Chao; Fu Guangyuan; Zhang Daqiao; Wang Hongqiao; Zhao Jiufen;

  • 作者单位

    Xian Inst High Tech, Xian 710025, Shaanxi, Peoples R China;

    Xian Inst High Tech, Xian 710025, Shaanxi, Peoples R China;

    Xian Inst High Tech, Xian 710025, Shaanxi, Peoples R China;

    Xian Inst High Tech, Xian 710025, Shaanxi, Peoples R China;

    Xian Inst High Tech, Xian 710025, Shaanxi, Peoples R China;

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