Analysis of Archive Library Data System Based on Genetic Algorithm

This study examines the enhancement of library archive systems through genetic algorithms, focusing on improving information retrieval accuracy and efficiency in the era of big data. Our results show significant performance improvements, with the newly developed system achieving data accuracy rates above 99.8% and response times for various functions improved by 5 to 10 times compared to traditional systems. These findings demonstrate the potential of genetic algorithms to modernize library archives, ensuring they meet the evolving needs of users more effectively.