Optimization Strategy of Cultural Legacy Tourism Design Combining Virtual Reality and Genetic Algorithm

Abstract

With the help of computer-aided technology, this study aims to create an innovative optimization strategy for cultural legacy tourism design by integrating virtual reality (VR) and genetic algorithms (GA). We use VR technology to build an immersive cultural legacy virtual environment for tourists so that they can get a near-real travel experience. Furthermore, combined with GA, the tourist route is intelligently optimized to ensure that tourists can get the best tour effect in a limited time. The experimental data demonstrates that, in comparison to traditional algorithms, the computer-aided fusion approach implemented in this investigation has notably enhanced the response speed, system stability, and recommendation precision. More specifically, our technique decreased the error by 22.55% and increased accuracy by 24.37% when compared to the RF algorithm. This study introduces novel optimization techniques for cultural heritage tourism, significantly enhancing tourist satisfaction and blazing a new trail for safeguarding and preserving cultural heritage.