基于贝叶斯混合博弈的空袭火力资源分配决策模型 |
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引用本文: | 周兴旺,从福仲,庞世春,侯满义,辛腾达.基于贝叶斯混合博弈的空袭火力资源分配决策模型[J].火力与指挥控制,2016(7):18-22. |
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作者姓名: | 周兴旺 从福仲 庞世春 侯满义 辛腾达 |
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作者单位: | 空军航空大学,长春,130000 |
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基金项目: | 国家自然科学基金资助项目(11171350) |
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摘 要: | 从博弈论的角度出发研究空袭火力资源的分配问题,针对空袭编队和防空火力单元攻防对抗过程中存在的不确定性、静态性以及动态性,建立基于贝叶斯混合博弈的空袭对抗火力分配模型。通过构造贝叶斯混合博弈树,采用逆向回溯法分别建立不同的博弈分析模型,利用混合粒子群算法求解那什均衡。仿真结果表明:以博弈论为背景研究空袭作战火力分配问题,符合真实的作战坏境,有效性好,有较高的理论应用价值。
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关 键 词: | 博弈论 贝叶斯博弈 混合粒子群算法 火力分配 |
Decision-Making Model Research of Air-raid Firepower Resources Allocation Based on Bayesian Mixed Game |
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Abstract: | From the perspective of game theory to studying air-raid firepower resources allocation, for air-raid formation and defense firepower unit existing uncertainty,static and dynamic in the process of attack-defense,the firepower distribution model of air-raid countermeasures based on bayesian mixed game is built. By constructing a bayesian mixed game tree,using the reverse backtracking to setting up respectively different game analysis model,using hybrid particle swarm algorithm to solving the Nash equilibrium. The simulation results show: based on the game theory as background to researching the air-raid firepower assignment problem,conforms to the real operational environment, have good effectiveness,high theoretical and application value. |
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Keywords: | game theory bayesian game hybrid particle swarm algorithm firepower distribution |
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