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.

Using genetic algorithms in the housing market analysis

MANGANELLI, Benedetto;DE MARE, GIANLUIGI;NESTICO', ANTONIO
2015-01-01

Abstract

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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11386/4668878
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 23
  • ???jsp.display-item.citation.isi??? 16
social impact