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Target distribution in cooperative combat based on Bayesian optimization algorithm

机译:基于贝叶斯优化算法的协同作战目标分配

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摘要

Target distribution in cooperative combat is a difficult and emphases. We build up the optimization model according to the rule of fire distribution. We have researched on the optimization model with BOA The BOA can estimate the joint probability distribution of the variables with Bayesian network, and the new candidate solutions also can be generated by the joint distribution. The simulation example verified that the method could be used to solve the complex question, the operation was quickly and the solution was best.
机译:合作作战中的目标分配是一个困难和重点。根据火力分布规律建立优化模型。我们使用BOA研究了优化模型。BOA可以使用贝叶斯网络估计变量的联合概率分布,并且还可以通过联合分布生成新的候选解。仿真实例验证了该方法可解决复杂问题,运算速度快,求解效果最佳。

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