A Multi-Dimensional Dynamic Evaluation Method for the Intelligence of Unmanned Aerial Vehicle Swarm

With the emergence of unmanned system and swarm intelligence technology, how to describe and evaluate the intelligence of unmanned aerial vehicle swarm (UAVS) has become a challenging topic. An intelligence description framework is established involving the mission execution complexity and mission performance indexes. Multiple dimensions index system is built to express the internal intelligence behavior of the UAVS. To dynamically evaluate the intelligence capability of UAVS from multi-dimension, a dynamic indexes framework based on data yard and combined weighting method is proposed. Intelligence performance under multiple dynamic execution periods and complexities are synthesized to evaluate the intelligence capability. Aiming at discussing UAVS intelligence across missions, the evaluated intelligence capability is transformed to intelligence level by the designed intelligence classification framework and the standard swarm intelligence. An intelligence evaluation instance is provided to verify the effectiveness of the proposed method. The intelligence evaluation framework and method can fully consider the dynamic performance and mission execution complexities of the swarm system, and evaluate the intelligent capabilities of UAVS from multiple dimensions.