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.

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.

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.

This study has certain reference value for the design and application of combat resource planning.