In modern warfare,reconnaissance and strike integrated unmanned aerial vehicles (RSUAV) face the significant threat of precise strikes from enemy missiles when carrying out tasks such as reconnaissance,surveillance,target location,and precision strikes.To address this challenge,this paper proposes a hybrid dispensing strategy that combines the advantages of chaff and infrared decoys to extend the lifespan of RSUAV in battlefield environments.Specifically,we first construct kinematic models for the RSUAV,chaff decoys,and infrared decoys,and for the first time,integrate a dynamic Radar Cross Section (RCS) model for chaff clouds and a time-varying radiation model for infrared decoys into a unified framework.Subsequently,based on centroid jamming principles,we formulate an objective function for hybrid dispensing decision-making,dynamically adjusting the dispensing strategy by incorporating infrared and radar sensitivity weights to address the challenge of effectively countering composite-guided missiles.Finally,we develop an adaptive genetic algorithm that enhances convergence efficiency by optimizing parameters such as population size and fitness criteria,thereby ensuring real-time responsiveness in complex and dynamic battlefield environments.Simulation experiments show that this method can effectively interfere with enemy missiles,regardless of whether they are infrared,radar,or composite-guided,thereby significantly enhancing the survival capability of RSUAV.This mixed deployment strategy provides more effective electronic warfare means for modern battlefields and holds significant strategic value and application prospects.