基于改进遗传算法的舰艇编队联合防空资源预规划方法

Pre-planning method of joint air defense resources for ship formations based on improved genetic algorithm

[目的]作战资源规划领域逐渐成为智能化决策指导未来作战的核心点,保证更优的作战资源规划方案对实际作战的指导及执行至关重要,为此,提出一种基于改进遗传算法的舰艇编队协同防空资源规划方法。[方法]首先,将资源服务化,提高资源的通用性;然后,利用遗传算法多种群的衔接来表示多阶段的作战规划,并设计基于多种群遗传算法的多维服务质量(QoS)作战性能指标,从而为联合作战规划方案的评价建立一套优劣评判手段。[结果]结果显示,所提方法经资源的通用化处理之后,可以很好地与多种群遗传算法相结合,从而得到一个多阶段最优的作战资源规划方案。[结论]所做研究对作战资源规划的设计与应用具有一定的参考价值。

[Objectives]The field of combat resource planning has gradually become the core point of intel-ligent decision guidance for future combat,and ensuring a better combat resource planning scheme is crucial to the guidance and implementation of actual combat.To this end,a resource planning method for the joint air de-fense of warship formations based on an improved genetic algorithm is proposed.[Methods]First,the re-sources are serviced to improve their versatility;next,the articulation of multi-population genetic algorithms is used to represent multi-stage combat planning,and multi-dimensional quality of service(QoS)combat per-formance indicators are designed on the basis of multi-population genetic algorithms,thereby establishing a set of strengths and weaknesses for the evaluation of joint warfare planning programs.[Results]After the gen-eralization of resources,the proposed method can be effectively combined with multi-population genetic al-gorithms to obtain a multi-stage optimal combat resource planning scheme.[Conclusion]This study has certain reference value for the design and application of combat resource planning.