Using Genetic Algorithms for Real Estate Appraisals

Vincenzo Del Giudice; Pierfrancesco De Paola; Fabiana Forte

doi:10.3390/buildings7020031

Buildings (Mar 2017)

Using Genetic Algorithms for Real Estate Appraisals

Vincenzo Del Giudice,
Pierfrancesco De Paola,
Fabiana Forte

Affiliations

Vincenzo Del Giudice: Department of Industrial Engineering, University of Naples “Federico II”, 80125 Naples, Italy
Pierfrancesco De Paola: Department of Industrial Engineering, University of Naples “Federico II”, 80125 Naples, Italy
Fabiana Forte: Department of Architecture and Industrial Design, University of Campania “Luigi Vanvitelli”, 81031 Aversa, Italy

DOI: https://doi.org/10.3390/buildings7020031
Journal volume & issue: Vol. 7, no. 2
p. 31

Abstract

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The main aim of this paper is the interpretation of the existing relationship between real estate rental prices and geographical location of housing units in a central urban area of Naples (Santa Lucia and Riviera of Chiaia neighborhoods). Genetic algorithms (GA) are used for this purpose. Also, to verify the reliability of genetic algorithms for real estate appraisals and, at the same time, to show the forecasting potentialities of these techniques in the analysis of housing markets, a multiple regression analysis (MRA) was applied comparing results of GA and MRA.

Published in Buildings

ISSN: 2075-5309 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Building construction
Website: https://www.mdpi.com/journal/buildings

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