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Genetic Operators Impact on Genetic Algorithms Based Variable Selection

  • Marco VannucciEmail author
  • Valentina Colla
  • Silvia Cateni
Conference paper
  • 40 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 193)

Abstract

This paper faces the problem of variables selection through the use of a genetic algorithm based metaheuristic approach. The method is based on the evolution of a population of variables subsets, which is led by the genetic operators determining their selection and improvement through the algorithm generations. The impact of different genetic operators expressly designed for this purpose is assessed through a test campaign. The results show that the use of specific operators can lead to remarkable improvements in terms of selection quality.

Keywords

Varables selection Genetic algorithms Genetic operators 

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Marco Vannucci
    • 1
    Email author
  • Valentina Colla
    • 1
  • Silvia Cateni
    • 1
  1. 1.Scuola Superiore Sant’Anna, Istituto TeCIPPisaItaly

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