军队技术人才培养规划的鲁棒优化研究

Study on Military Technical Talents Training Plan with Robust Optimization

本文针对军队发展带来技术人才需求的动态变化,通过将技术人才各方面素质需求的不确定性离散成三种不同情景,采用鲁棒优化方法构建了军队人才培养的鲁棒优化模型,以军队信息化建设人才需求为背景,以某部人才队伍为研究对象进行了实证求解,并比较了基于单一情景的规划结果与鲁棒优化模型的结果。研究结果表明,鲁棒优化模型对于军队人才培养规划制定具有更好的稳定性和可行性。

In order to adapt the dynamic changes of the demand for technical talents, in this paper,the uncertainty of the quality needs for the technical talents are discretized into three different situations, and the robust optimization model of military talents training is established through the method of robust optimiza- tion. The example of talents training programs in the next few years is set to explain the solving methods of robust optimization model based on the background of information construction. The results show that the stability and feasibility of the robust optimization model are much better than other model in the process of talents training planning.