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

  Objectives  The field of combat resource planning has gradually become the core point of intelligent 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 defense of warship formations based on an improved genetic algorithm is proposed.

  Methods  First, the resources 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 performance 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 generalization of resources, the proposed method can be effectively combined with multi-population genetic algorithms 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.