论文标题
侧重于灵活的天际线查询的数据库中多目标优化的概述
An outline of multi objective optimization in databases with focus on flexible skyline queries
论文作者
论文摘要
在不同的，可以想象的相互冲突，标准中优化的问题称为多目标优化，并且在许多领域中广泛分布。当需要从非常大的数据集中获取最佳对象时，这是数据库查询中的重复问题。在本文中，我对通常用于实现多标准优化的主要方法进行了完整的评论。从排名查询和天际线开始，然后进入更高级的方法，本文旨在定义数据库中多目标优化的清晰概述。特别是，考虑并进行了详尽的讨论，因为它克服了与其他方法一起出现的许多关键问题，因此被考虑并进行了彻底讨论。
The problem of optimizing across different, conceivably conflicting, criteria is called multi-objective optimization and it is widely spread across many fields. This is a recurring problem in database queries when there is the need of obtaining the best objects from a very large data set. In this article, I included a complete review of the main approaches typically used to achieve multi-criteria optimization. Starting from ranking queries and skylines and then proceeding to more advanced methods, this paper aims to define a clear outline of multi-objective optimization in databases. In particular, the flexible skyline paradigm is considered and thoroughly discussed as it overcomes many of the critical issues that arise with other methods.
