Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology

Cultural tourism is important for preserving cultural history and giving visitors immersive experiences, but tailoring it to each visitor's needs is still a major problem. It offers a distinct method of improving cultural tourism by combining Virtual Reality (VR), Genetic Algorithm (GA), and individual customization. Premature convergence and inadequate population variety are addressed by the Dynamic variety-Enhanced Genetic Algorithm (DDE-GA), a variation of the conventional GA. DDE-GA improves the investigation of possible solutions by dynamically modifying selection pressure according to population diversity, it makes it particularly useful for tackling optimization problems that are complicated, multi-modal, and highly dimensional. Creating an immersive environment that enables visitors to experience cultural heritage in a manner that is entirely tailored to their preferences, interests, and schedules is the objective of virtual reality technology. By adjusting to these individual parameters, the algorithm cleverly optimizes tourist itineraries. The DDE-GA-powered VR system works better than current methods, according to experimental data, with improvements in reaction time (1.1 seconds), accuracy (98%), precision (97%), and modeling error (0.10). When compared to convolutional algorithms, the suggested approach specifically enhances accuracy and drastically lowers error. This invention assists not only in satisfying tourists with individualized experiences but also in popularizing and preserving cultural traditions via the use of modern technology. The research concludes that integrating DDE-GA with VR technology substantially enhances personalized cultural tourism by optimizing routes based on user-specific preferences. This approach yields notable improvements in accuracy, precision, and response time while minimizing modeling errors. Furthermore, it contributes to both enriching tourist experiences and advancing cultural heritage conservation through innovative technological applications.

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Publication Details

Journal
Systems and Soft Computing
Published
2025-07-20
DOI
https://doi.org/10.1016/j.sasc.2025.200360
Citations
2
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
3.87
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article

Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology

Xiangyi Li, Min Liu, Yongmin Zhong, Huiya Xing
2 citations
Systems and Soft Computing
Virtual Reality Applications and Impacts
3.87
article

Implementation of personalized customization and enhanced experiences for cultural tourism resources using genetic algorithm-based virtual reality technology

Xiangyi Li, Min Liu, Yongmin Zhong, Huiya Xing
article en
2 citations

Abstract

Cultural tourism is important for preserving cultural history and giving visitors immersive experiences, but tailoring it to each visitor's needs is still a major problem. It offers a distinct method of improving cultural tourism by combining Virtual Reality (VR), Genetic Algorithm (GA), and individual customization. Premature convergence and inadequate population variety are addressed by the Dynamic variety-Enhanced Genetic Algorithm (DDE-GA), a variation of the conventional GA. DDE-GA improves the investigation of possible solutions by dynamically modifying selection pressure according to population diversity, it makes it particularly useful for tackling optimization problems that are complicated, multi-modal, and highly dimensional. Creating an immersive environment that enables visitors to experience cultural heritage in a manner that is entirely tailored to their preferences, interests, and schedules is the objective of virtual reality technology. By adjusting to these individual parameters, the algorithm cleverly optimizes tourist itineraries. The DDE-GA-powered VR system works better than current methods, according to experimental data, with improvements in reaction time (1.1 seconds), accuracy (98%), precision (97%), and modeling error (0.10). When compared to convolutional algorithms, the suggested approach specifically enhances accuracy and drastically lowers error. This invention assists not only in satisfying tourists with individualized experiences but also in popularizing and preserving cultural traditions via the use of modern technology. The research concludes that integrating DDE-GA with VR technology substantially enhances personalized cultural tourism by optimizing routes based on user-specific preferences. This approach yields notable improvements in accuracy, precision, and response time while minimizing modeling errors. Furthermore, it contributes to both enriching tourist experiences and advancing cultural heritage conservation through innovative technological applications.

Systems and Soft ComputingVol. 7
Central University of Finance and Economics (CN), Huawei Technologies (China) (CN), Wuhan College (CN), North China Institute of Aerospace Engineering (CN), Yancheng Institute of Technology (CN)
Decent work and economic growth
Openalex Percentile: Top 7%
Virtual Reality Applications and Impacts
3.87
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