Research on the Selection and Application of Weapons Portfolio Considering Threats

This article considers the complexity and the correlation of the combat system. It introduces an innovative approach for the selection of weapon portfolios from real-world combat scenarios, offering a novel perspective for the demonstration of weapon development. Firstly, from the perspective of the system operation model, the Heterogeneous Combat Network (HCN) is constructed based on the attributes and the intercorrelation of weapons in this article. Subsequently, this article discusses how to identify and extract the Observation-Orientation-Decision-Action (OODA) based on the HCN, providing a foundation for the development and modeling of weapons Portfolio. Then, the Multi-target Weapon System Portfolio Selection (MWSPS) model is established based on the perspective of Availability Dependability Capacity Model (ADCM). Finally, the article presents the Non-dominated Sorting Genetic Algorithm II-Differential Evolution (NSGAIIDE) to tackle the MWSPS. The algorithm's efficacy and practicality are demonstrated through experiments, which serve to validate the proposed method's robustness and applicability in the field of combat system optimization.