Design of Intelligent Travel Path Selection System Based on Floyd Algorithm

The intelligent selection of the system design is critical in travel path, however it has an issue with erroneous performance positioning. The typical Rotation algorithm is unable to address the inaccurate analysis and positioning issue in travel path, and the result is insufficient. As a result, a Floyd algorithm-based intelligent selection system design of tourism path is provided, and the intelligent selection system design of tourism path is assessed. To begin, the shortest route problem theory is used to discover the influencing elements, and the indicators are split based on the intelligent selection of the system design's needs to decrease interference factors in the intelligent selection of the system design. The shortest route problem theory is then used to create a Floyd algorithm intelligent selection of the system design scheme, and the outcomes of the intelligent selection of the system design are thoroughly examined. The MATLAB simulation results reveal that, under particular evaluation conditions, the Floyd algorithm outperforms the standard Rotation algorithm in terms of intelligent selection of the system design accuracy and time of influencing variables.