Genetic algorithm application for real estate market analysis in the uncertainty conditions
| Autor: | Natalija Lepkova, Artur Janowski, Aneta Chmielewska, Marek Walacik, Małgorzata Renigier-Biłozor |
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| Rok vydání: | 2021 |
| Předmět: |
Operations research
Computer science media_common.quotation_subject 05 social sciences Geography Planning and Development 0211 other engineering and technologies 0507 social and economic geography Inference 021107 urban & regional planning Real estate 02 engineering and technology Investment (macroeconomics) Urban Studies Investment decisions Market analysis Genetic algorithm Quality (business) 050703 geography media_common Valuation (finance) |
| Zdroj: | Journal of Housing and the Built Environment. 36:1629-1670 |
| ISSN: | 1573-7772 1566-4910 |
| Popis: | Every real estate investment decision making, because of the high capital-intensive character of properties, requires careful analysis of information. Availability of the information, market specificity and unpredictable or sudden changes on it cause that all real estate investments are subject to considerable risk and uncertainty. This specificity causes that, one can never be sure, that the collected set of information is complete though reliable for decision inference. The process of property market information collection, from numerical point of view is infinite since the information can be continuously supplemented or clarified. That is the reason for alternative to commonly (classically) used methods search that are effective in the selection of closest solutions optimal for multidimensional real functions, taking into account the global maximum. The paper attempts to decrease the impact of the factors that cause uncertainty on the quality of real estate investment decisions through the tools based on the simulation of the process of natural selection and biological evolution application proposal. The aim of the study is to analyse the potential of the methodology based on genetic algorithms (GA) as part of the automated valuation models component in the uncertainty conditions and support investment decisions on the real estate market. The developed hybrid model (based on genetic algorithm and Hellwig’s method compound) allows to select properties adequate to the adopted assumptions, i.e. individuals best suited to the environment. The tool can be used by real estate investment advisors and potential investors. |
| Databáze: | OpenAIRE |
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