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.
The paragraphs 1, 2 and 3 are to be attributed in equal parts to the three authors; except subparagraphs 2.1 and 2.2, to be attributed only to Manganelli.
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Manganelli, B., De Mare, G., Nesticò, A. (2015). Using Genetic Algorithms in the Housing Market Analysis. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_3
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DOI: https://doi.org/10.1007/978-3-319-21470-2_3
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