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2017 | OriginalPaper | Chapter

Genetic Algorithms for Real Estate Market Analysis

Authors : Vincenzo Del Giudice, Pierfrancesco De Paola, Fabiana Forte

Published in: Computational Science and Its Applications – ICCSA 2017

Publisher: Springer International Publishing

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Abstract

This work use Genetic Algorithms (GA) in order to interpret the existing relationship between real estate rental prices and geographic location of housing units for a central urban area of Naples. The choose of algorithm parameters are discussed on the basis of a real estate sample located in Santa Lucia and Chiaia neighborhoods. Main aim of this paper is verify the reliability of GA for real estate appraisals purposes and, at the same time, to show the potentiality but also the limits of GA in this field in terms of analysis of the housing markets.

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Title: Genetic Algorithms for Real Estate Market Analysis
Authors: Vincenzo Del Giudice
Pierfrancesco De Paola
Fabiana Forte
Publisher: Springer International Publishing
Book: Computational Science and Its Applications – ICCSA 2017
Print ISBN: 978-3-319-62397-9

Electronic ISBN: 978-3-319-62398-6

Copyright Year: 2017
DOI: https://doi.org/10.1007/978-3-319-62398-6_33

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