标题： 基于语义相似性的文档搜索的遗传和差分进化算法方法综述 显示英文标题

标题： Survey of Genetic and Differential Evolutionary Algorithm Approaches to Search Documents Based On Semantic Similarity

摘要： 在大量数据中识别相似文档是一个重大的挑战。 为了解决这个问题，研究人员开发了多种有效的分布式计算技术。 随着计算能力的提升和大数据的兴起，深度神经网络和进化计算算法，如遗传算法和差分进化算法，已经取得了更大的成功。 本综述将探讨基于语义文本相似性的文档搜索的最新进展，重点研究遗传和差分进化计算算法。 显示英文摘要

摘要： Identifying similar documents within extensive volumes of data poses a significant challenge. To tackle this issue, researchers have developed a variety of effective distributed computing techniques. With the advancement of computing power and the rise of big data, deep neural networks and evolutionary computing algorithms such as genetic algorithms and differential evolution algorithms have achieved greater success. This survey will explore the most recent advancements in the search for documents based on their semantic text similarity, focusing on genetic and differential evolutionary computing algorithms.