| 基于灰狼算法的多平台火力分配优化模型 |
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| 引用本文： | 王光源,李浩民,陈永展,姜新铖.基于灰狼算法的多平台火力分配优化模型[J].科学技术与工程,2023,23(23):10133-10138. |
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| 作者姓名： | 王光源 李浩民 陈永展 姜新铖 |
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| 作者单位： | 海军航空大学 |
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| 基金项目： | 军内“***武器突防性能使用验证”专项课题(编号：NHD15224211X)。第一作者：王光源(1962—),男,汉族,山东文登人,博士,教授。研究方向：海军战术学。E-mail：527075258@qq.com。*通信作者：李浩民(1985—),男,汉族,辽宁营口人,硕士研究生,工程师。研究方向：海军战术学。E-mail：527075258@qq.com。 |
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| 摘 要： | 为发挥多平台协同对海突击作战优势,综合考虑打击收益及打击代价两个重要影响因素,构建多平台火力分配数学模型,并且采用改进的灰狼优化算法研究解决多平台火力分配问题,结合实例进行验证。结果表明构建的火力分配模型紧贴作战实际,所采用的灰狼优化算法可以有效优选出最佳的火力分配方案,为指挥员指挥决策提供参考依据。
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| 关 键 词： | 火力分配 打击收益 打击代价 灰狼算法 |
| 收稿时间： | 2022/11/10 0:00:00 |
| 修稿时间： | 2023/8/2 0:00:00 |
Multi-platform fire allocation optimization modelbased on Gray Wolf algorithm |
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| Wang Guangyan,Li Haomin,Chen Yongzhan,Jiang Xincheng.Multi-platform fire allocation optimization modelbased on Gray Wolf algorithm[J].Science Technology and Engineering,2023,23(23):10133-10138. |
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| Authors: | Wang Guangyan Li Haomin Chen Yongzhan Jiang Xincheng |
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| Abstract: | In order to give full play to the advantages of multi-platform collaborative naval assault operations, the two important factors of strike revenue and strike cost were comprehensively considered, the multi-platform firepower allocation mathematical model was constructed, and the improved Grey Wolf optimization algorithm was used to study and solve the problem of multi-platform firepower allocation. The results show that the constructed fire allocation model is close to the actual operation, and the Grey Wolf optimization algorithm can effectively select the best fire allocation scheme, and provide a reference for the commander"s command decision. |
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| Keywords: | firepower allocation Hit revenue Strike the cost GWO |
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