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The problem of optimizing across different, conceivably conflicting, criteriais called multi-objective optimization and it is widely spread across manyfields. This is a recurring problem in database queries when there is the needof obtaining the best objects from a very large data set. In this article, Iincluded a complete review of the main approaches typically used to achievemulti-criteria optimization. Starting from ranking queries and skylines andthen proceeding to more advanced methods, this paper aims to define a clearoutline of multi-objective optimization in databases. In particular, theflexible skyline paradigm is considered and thoroughly discussed as itovercomes many of the critical issues that arise with other methods.

An outline of multi objective optimization in databases with focus on flexible skyline queries