As data is escalating exponentially efficient storage and fast retrieval of data are increasingly becoming areas of significance for researchers. Query optimization is probably the most researched problem in the database domain. Among the solutions to this problem, Genetic Algorithms have proved to be a viable alternative. This systematic literature review explores work done on the application of Genetic Algorithm to optimization of database queries to understand how its use for database query optimization has taken shape and to identify the open questions. It could be inferred that Join-Order, Distributed databases and Hybrids with Genetic Algorithm are sustaining researchers’ interest.
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Database Query Optimization using Genetic Algorithms: A Systematic Literature Review
Semantic Scholar · Computer Science · 2019
Abstract
As data is escalating exponentially efficient storage and fast retrieval of data are increasingly becoming areas of significance for researchers. Query optimization is probably the most researched problem in the database domain. Among the solutions to this problem, Genetic Algorithms have proved to be a viable alternative. This systematic literature review explores work done on the application of Genetic Algorithm to optimization of database queries to understand how its use for database query optimization has taken shape and to identify the open questions. It could be inferred that Join-Order, Distributed databases and Hybrids with Genetic Algorithm are sustaining researchers’ interest.