综述群体智能在语义相似文档检索中的应用与前景
Survey of Swarm Intelligence Approaches to Search Documents Based On Semantic Similarity
- 基于动物行为启发的群体智能算法用于文档语义搜索
- 系统梳理近年相关进展，涵盖多种算法与应用场景
- 适合对智能搜索、优化算法感兴趣的科研人员参考
群体智能（Swarm Intelligence, SI）在人工智能领域日益受到关注，其通过观察动物和昆虫的自然行为，转化为计算机算法（称为群体计算），以解决现实世界问题。由于其高效性，该类算法被广泛应用于各类计算机优化任务中。本文综述了利用群体智能算法进行基于语义相似性的文档搜索的最新研究进展，并提出未来的研究方向。
原文摘要 · Abstract (English)
Swarm Intelligence (SI) is gaining a lot of popularity in artificial intelligence, where the natural behavior of animals and insects is observed and translated into computer algorithms called swarm computing to solve real-world problems. Due to their effectiveness, they are applied in solving various computer optimization problems. This survey will review all the latest developments in Searching for documents based on semantic similarity using Swarm Intelligence algorithms and recommend future research directions.
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