Research on the Algorithm for the Design and Implementation of a 3D Visualization Platform for Tourism Resource Management

In order to meet the challenges of algorithm research on the design and implementation of 3D visualization platform for tourism resource management, in view of the shortcomings of the existing immunization algorithms, this study introduces an algorithm research method for the design and implementation of an innovative 3D visualization platform based on simulated annealing algorithm. This new approach uses the theoretical principles of the annealing process to precisely identify and locate the key influencing factors, and accordingly makes a sensible classification of indicators to reduce possible interference. At the same time, using the unique mechanism of simulated annealing algorithm, this scheme cleverly constructs a design strategy for the design and implementation of a 3D visualization platform. The empirical results show that this scheme shows a significant improvement comprised with the traditional immunization algorithm in terms of the accuracy of algorithm research and the processing efficiency of key factors in the design and implementation of the 3D visualization platform, showing its obvious strong advantages. In the management of tourism resources, the algorithm research of the design and implementation of the 3D visualization platform plays a vital role, which can accurately predict and optimize the growth trend and output results of the algorithm research of the design and implementation of the 3D visualization platform for tourism resource management. However, in the face of complex simulation tasks, traditional immunization algorithms show some inherent shortcomings, especially when dealing with multilevel challenges, their performance is often unsatisfactory. To overcome this problem, this study introduces a new idea of algorithm research for the design and implementation of a three-dimensional visualization platform optimized by simulated annealing algorithm, and accurately controls the influencing parameters through the annealing process theory, which is used as a road map for index allocation, and then uses the simulated annealing algorithm to innovate and construct a system scheme. The test results clearly point out that in the context of the evaluation criteria, the new scheme has been significantly optimized in terms of accuracy and processing speed for a variety of challenges, showing stronger performance superiority. Therefore, in the algorithm research process of the design and implementation of the 3D visualization platform for tourism resource management, the simulation scheme based on the simulated annealing algorithm successfully overcame the shortcomings of the traditional immunization algorithm and significantly improved the accuracy and operation efficiency of the simulation.