Genetic Algorithm as Automated Valuation Model Component in Real Estate Investment Decisions System
Author:
Affiliation:
1. Institute of Spatial Economy and Geography , University of Warmia and Mazury in Olsztyn , Olsztyn , Poland
2. Adamiczka Consulting
3. Independent researcher
Abstract
Publisher
Walter de Gruyter GmbH
Reference63 articles.
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2. Ahn, J. J., Byun, H. W., Oh, K. J., & Kim, T. Y. (2012). Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting. Expert Systems with Applications, 39(9), 8369–8379. https://doi.org/10.1016/j.eswa.2012.01.183
3. Andrejkova, G., Marčišinová, K. & Kudela, K. (2019). Genetic algorithms in the prediction of geomagnetic storms.
4. Awange, J., Palancz, B., Lewis, R., & Volgyesi, L. (2018). Genetic algorithms. Mathematical Geosciences. Springer. https://doi.org/10.1007/978-3-319-67371-4
5. Bąk, A. (2016). Porządkowanie liniowe obiektów metodą hellwiga i topsis – analiza porównawcza [Linear ordering of objects using hellwig and topsis methods a comparative analysis]. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu, 426, 22 – 31. https://doi.org/10.15611/pn.2016.426.02
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