论文标题
多目标优化，查询数据库的不同方法
Multi-Objective Optimization, different approach to query a database
论文作者
论文摘要
如今可用的数据集非常丰富且复杂，但是我们如何获取所需的信息？在此调查中，分析了两种查询数据集的两种不同的方法，并解释了每种类型的算法。具体而言，已经对TA和NRA进行了TA和NRA的分析，并且已经检查了Skyline查询的基本块嵌套环。此外，它解释了优先和灵活的天际线背后的核心思想。最后，已经根据不同的标准评估了每种分析查询的利弊。
The datasets available nowadays are very rich and complex, but how do we reach the information we are looking for? In this survey, two different approaches to query a dataset are analyzed and algorithms for each type are explained. Specifically, the TA and NRA have been analyzed for the Top-K query and the Basic Block Nested Loops has been examined for the skyline query. Moreover, it's explained the core idea behind the Prioritized and Flexible skyline. In the end, the pros and cons of each type of analyzed query have been evaluated based on different criteria.
