| 基于EAP-GA的联合作战行动计划 |
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| 引用本文： | 彭小宏,阳东升,武云鹏,黄金才.基于EAP-GA的联合作战行动计划[J].火力与指挥控制,2009,34(2). |
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| 作者姓名： | 彭小宏 阳东升 武云鹏 黄金才 |
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| 作者单位： | 国防科技大学信息系统与管理学院,湖南,长沙,410073 |
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| 基金项目： | 国家自然科学基金，高等学校博士学科点专项科研基金 |
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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.
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| 关 键 词： | 行动计划 遗传算法 动态贝叶斯网 |
Methodology for Action Planning in Joint Operation based on EAP-GA |
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| PENG Xiao-hong,YANG Dong-sheng,WU Yun-Peng,HUANG Jin-cai.Methodology for Action Planning in Joint Operation based on EAP-GA[J].Fire Control & Command Control,2009,34(2). |
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| Authors: | PENG Xiao-hong YANG Dong-sheng WU Yun-Peng HUANG Jin-cai |
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| Institution: | College of Information System and Management;National University of Defense Technology;Changsha 410073;China |
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| Abstract: | 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. |
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