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基于EAP-GA的联合作战行动计划 被引量：8

Methodology for Action Planning in Joint Operation based on EAP-GA
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摘要 建立了行动计划生成模型,利用混合遗传算法来优化可行的行动计划,提出了在复杂不确定环境中求解有效联合作战行动计划的方法框架EAP-GA,有效解决了不确定环境中行动计划问题。结合一个联合登岛作战想定案例,对行动计划建模及求解进行了验证。 A methodology frame termed EAP-GA for action planning in joint operation in complex and uncertain circumstance is proposed. Model for action planning is found based on Dynamic Bayesian Net, hybrid genetic algorithms is used in optimizing optional action plans. The methodology of action planning was illuminated by a case of joint landing campaign, approaches for modeling and solving were validated.
作者 彭小宏 阳东升 武云鹏 黄金才
机构地区 国防科技大学信息系统与管理学院
出处 《火力与指挥控制》 CSCD 北大核心 2009年第2期1-4,9,共5页 Fire Control & Command Control
基金 国家自然科学基金(60504036) 高等学校博士点基金资助项目(20049998021)
关键词 行动计划 遗传算法 动态贝叶斯网 action planning,genetic algorithms,dynamic bayesian network （DBN）
分类号 E211 [军事—军队指挥学]
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参考文献7

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二级参考文献9

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共引文献14

同被引文献92

引证文献8

二级引证文献26

火力与指挥控制
2009年 第2期

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