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基于DINs和PSO的组织行动过程选择方法 被引量：6

Approach to organizational course of actions selection based on DINs and PSO
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摘要 有效的行动过程是组织成功完成使命的关键.提出了使用动态影响网对行动过程问题进行建模的方法,通过引入因果强度参数,替代贝叶斯网络中的条件概率表,缓解模型在知识获取方面的瓶颈问题,给出了利用因果强度参数进行概率传播的具体计算方法;并用粒子群优化算法对模型进行优化求解.最后结合一个联合作战的想定,验证了方法可行性和有效性. An effective course of actions（COA） is the key to accomplish the mission successfully for the organization.A method based on dynamic influence nets（DINs） which to model the COA problem is proposed.In this method,the causal strength parameters are introduced instead of conditional probability tables,so that the bottle-neck problem of knowledge acquisition is mitigated,and the probability propagation algorithm using causal strength parameters is presented.Then particle swarm optimization （PSO） algorithm is adopted to select the best COA.At last,the feasibility and efficiency of this method is illuminated by a case of joint campaign.
作者 张杰勇 姚佩阳 阳东升 王欣 周翔翔
机构地区 空军工程大学电讯工程学院 复杂系统仿真总体重点实验室
出处 《系统工程理论与实践》 EI CSSCI CSCD 北大核心 2011年第10期1985-1993,共9页 Systems Engineering-Theory & Practice
基金 国家高技术研究发展计划(863计划)(2010AAJ146) 国家自然科学基金(71071157)
关键词 行动过程 动态影响网 因果强度 粒子群优化 蒙特卡洛 course of actions dynamic influence nets causal strength particle swarm optimization Monte Carlo
分类号 TP391.9 [自动化与计算机技术—计算机应用技术]
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参考文献16

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二级参考文献16

  • 1阳东升,张维明,刘忠,胡剑文.组织过程策略优化的案例分析与求解[J].系统仿真学报,2005,17(7):1648-1654. 被引量：15
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系统工程理论与实践
2011年 第10期

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