Abstract：Taking cluster-to-sea combat as the application background, this article focuses on the spatiotemporal
configuration and target allocation decision-making problems of multi-missile and multi-spatial dispersion. It established
a missile active perception collaborative detection model in typical collaborative scenarios of multiple missiles and
designed models and corresponding algorithms for missile cooperative detection and collaborative attacks. Initially, a
three-degree-freedom model for missiles and a two-degree-freedom model for ships, an evaluation model for missile
flight capability, an evaluation model for missile penetration probability, and a missile threat evaluation model were
established, thus allowing the accurate measurements of changes in missile detection and strike capabilities. Then, this
study designed an active perception collaborative detection model and collaborative attack model for missiles under
incomplete information conditions, maximizing the benefits of missile collaborative operations and maximizing the
destruction of enemy forces. After that, to address the problems of target allocation and missile formation configuration
in missile coordinated strike, a particle swarm optimization algorithm incorporating a genetic algorithms (GAPSO) was
introduced and compared with the traditional particle swarm optimization (PSO) algorithms, which allows a multi-
dimensional consideration of battlefield situation information and integrated detection and attack of enemy targets.
Finally, this article simulated the established combat model and obtained algorithm simulation graphs and statistical data from multiple simulations of the algorithm. Compared with other algorithms, this algorithm has obvious
advantages, thus significantly improving the intelligent confrontation level and penetration strike ability of missiles.
