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首页> 外文会议>2010 International Conference on Artificial Intelligence and Computational Intelligence >Study on Loading Scheme Optimal Algorithm of Airborne Ammunition for Group-craft Cooperative Air Combat
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Study on Loading Scheme Optimal Algorithm of Airborne Ammunition for Group-craft Cooperative Air Combat

机译：机载协同空战的机载弹药装载方案优化算法研究。

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In order to furthest enhance the whole operation efficiency in group-craft cooperative air combat, this paper presents a new optimal algorithm of airborne ammunition loading scheme based on fighter planes synthesized efficiency index. First, by analyzing the correlative elements of loading scheme optimal modeling of airborne ammunition for group-craft cooperative air combat, an integer nonlinear program mathematic model about ammunition loading scheme is established. Second, this paper designs the six-step algorithm flows of solving the maximum of fighter planes synthesized efficiency index for group-craft cooperative air combat. Last, a simulation experiment shows that, the algorithm is of feasibility and validity, the solving speed is quick (the time is not beyond 10s to solve a 40-variables loading scheme mathematic model), the operation efficiency is high (the synthesized efficiency index of project 2 is higher 23.19 than the traditional project 1ȁ9;s), which will offer scientific decision-making supports for operation department to constitute the group-craft cooperative air combat loading scheme quickly.
机译：为了最大程度地提高机群协同空战的整体作战效率，提出了一种基于战斗机综合效率指标的新型机载弹药装填方案优化算法。首先，通过分析群载协同空战机载弹药最优装填方案的相关因素，建立了关于弹药装填方案的整数非线性规划数学模型。其次，本文设计了六步算法流程，求解群机协同空战中的战斗机最大综合效率指标。最后通过仿真实验表明，该算法具有可行性和有效性，求解速度快（求解40变量加载方案数学模型的时间不超过10s），运算效率高（综合效率指标）。项目2的比传统项目1 higher9; s高23.19，这将为作战部门提供科学的决策支持，以迅速组成群机协同空战装载方案。

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