Group Decision Algorithm Design for Multiple UAVs' Simultaneous Attack Coordination

As unmanned platforms evolve; group decision is increasingly applied to multiple platforms. Yet, traditional algorithms struggle with tasks like simultaneous arrival at a point, failing to meet real-time and accuracy demands. Focusing on simultaneously attack, this paper presents a Monte Carlo - based rapid group decision algorithm for multiple unmanned platforms with time constraints. The algorithm leverages this method to simulate platforms' future states, selecting paths that meet time constraints. Parallel simulation tests the algorithm's effectiveness. Results show it performs well in simultaneous attack tasks, enabling platforms to attack together. This offers a reliable solution for collaborative tasks involving multiple unmanned platforms.