Output details

Moving-Target Pursuit Algorithm Using Improved Tracking Strategy

<22> The paper proposes a novel tracking automatic optimization moving-target pursuit algorithm (TAO-MTP) using improved strategies to address all challenges for situated-agents, including real-time response, large-scale search space, severely limited computation resources, incomplete environmental knowledge, adversarial escaping strategies, and outsmarting the opponent. Experiments using commercial game maps show that TAO-MTP is independent of adversarial escaping strategies, and outperforms all the best state-of-the-art moving-target pursuit algorithms including eMTS, PR MTS, MTAA* and GAA*. The work presented is the outcome of close collaboration between El-Rhalibi and the other authors in China. This work advances research on moving-target pursuit, involving numerous practical applications.