This paper investigates the temporal optimization problem of multiple smoke decoy projectiles cooperatively countering missiles. From the perspective of textile science and material application, these smoke clouds function as a dynamic, flexible shielding barrier composed of micro-particulate or fibrous interference agents. Aiming to accurately describe the spatiotemporal dynamics of the confrontation process, this study establish kinematic models, dynamic evolution models of smoke cloud clusters, and a real-time obscuration determination system based on spatial geometry, leveraging precise fixed-point dispersal and detonation control technologies. To optimize the obscuration duration, an innovative hierarchical collaborative optimization framework is proposed: For single-projectile parameter optimization, a grid search combined with a rapid evaluation method is designed; for multi-projectile collaboration, a strategy integrating beam search for global exploration and local refined adjustment is developed, which effectively handles high-dimensional parameters and complex temporal constraints; for multi-platform collaboration, a decision-making framework of “local candidate enumeration-global interval merging” is proposed, significantly reducing computational complexity. The established models combine physical accuracy with computational efficiency, providing systematic theoretical methods and tools for the precise deployment of flexible protective materials and collaborative jamming strategy planning in dynamic confrontation environments.

multi-body confrontation, dynamic obscuration model, staged collaborative optimization, grid search algorithm, flexible shielding material