Genetic programming in database query optimization

  • Authors:
  • Michael Stillger;Myra Spiliopoulou

  • Affiliations:
  • Humboldt-Universität zu Berlin, Berlin, Germany;Humboldt-Universität zu Berlin, Berlin, Germany

  • Venue:
  • GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
  • Year:
  • 1996

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Abstract

Database query optimization is a hard research problem. Exhaustive techniques are adequate for trivial instances only, while combinatorial optimization techniques are vulnerable to the peculiarities of specific instances. We propose a model based on genetic programming to address this problem, motivated by its robustness and efficiency in a wide area of search problems. We adapt the genetic programming paradigm to the requirements of the query optimization problem, showing that the nature of the problem makes genetic programming a particularly attractive approach to it.