Using Genetic Algorithms in the Housing Market Analysis

  • Benedetto ManganelliEmail author
  • Gianluigi De Mare
  • Antonio Nesticò
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9157)


This paper tests the use of Genetic Algorithms to interpret the relationship between real estate prices and the geographic locations of the properties. Issues of choosing algorithm parameters are discussed on the basis of applying data collected in the city of Potenza to 190 houses. The aim of the study is to show the potential and the limits of genetic algorithms in this field and how they can be effectively used in the analysis of the housing market.


Genetic algorithms Housing submarkets Mass appraisal 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Benedetto Manganelli
    • 1
    Email author
  • Gianluigi De Mare
    • 2
  • Antonio Nesticò
    • 2
  1. 1.School of EngineeringUniversity of BasilicataPotenzaItaly
  2. 2.Department of Civil EngineeringUniversity of SalernoFisciano (SA)Italy

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