Intelligent initial configuration design for connected satellites control in pursuit-evasion games via dynamic directional competitive swarm optimizer

This paper addresses the critical yet understudied problem of initial spatial configuration in orbital pursuit-evasion games (OPEG). While existing research mainly focuses on in-game decision-making, the optimal pre-game deployment of cooperative satellites remains largely unexplored. To bridge this gap, we first establish a mathematical model for the configuration optimization problem and then develop a novel Dynamic Directional Competition Swarm Optimizer (DDCSO) to solve it. Numerical simulations demonstrate that the proposed approach improves the OPEG winning rate by over 12.30% compared to methods without optimized initial configuration, while the optimization accuracy of the DDCSO is improved by more than 3.62% relative to there optimizes. These results verify both the effectiveness of the proposed configuration design method and the superior performance of the DDCSO.