GENETINIO ALGORITMO TAIKYMAS ŽEMĖS SKLYPŲ RIBŲ TOPOLOGIJAI OPTIMIZUOTI NEKILNOJAMOJO TURTO KADASTRO ŽEMĖLAPYJE / АЛГОРИТМ ДЛЯ ОПТИМИЗАЦИИ ТОПОЛОГИИ ГРАНИЦ ЗЕМЕЛЬНЫХ УЧАСТКОВ НА КАДАСТРОВОЙ КАРТЕ НЕДВИЖИМОГО ИМУЩЕСТВА

Discrepancies between adjacent parcel boundaries happen when marking the boundaries of land parcels in the real estate cadastre map, for example, gaps, overlaps etc. In cases where the coordinates of land turning points meet statutory admissibility, the topology of land boundaries is adjusted. The paper addresses issues related to the application of genetic algorithms for optimizing the topology of land boundaries. When applying the genetic algorithm, for the purpose of optimizing the topology of the boundaries of land parcels, methodological justification and experimental study are employed. Santrauka Žymint žemės sklypų ribas nekilnojamojo turto kadastro žemėlapyje pasitaiko nesutapimų tarp gretimų sklypų ribų, t. y. atsiranda tarpai arba susidaro sanklotos. Tais atvejais, kai žemės sklypų posūkio taškų koordinatės atitinka teisės aktais nustatytus leistinumus, derinama žemės sklypų ribų topologija. Straipsnyje nagrinėjami klausimai, susiję su genetinių algoritmų taikymu žemės sklypų ribų topologijai optimizuoti. Atliktas genetinio algoritmo taikymo tam tikslui metodologinis pagrindimas ir eksperimentinis tyrimas. Резюме При обозначении границ земельных участков на кадастровой карте недвижимого имущества между границами смежных участков могут возникнуть расхождения, то есть появиться пробелы или пересечения. Когда координаты границ земельных участков не превышают предусмотренной правовыми и нормативными актами приемлемости, корректируется топология границ земельных участков. В статье рассмотрены вопросы, касающиеся применения генетических алгоритмов для оптимизации топологии границ земельных участков. Разработана методология применения генетического алгоритма для оптимизации топологии границ земельных участков и выполнено экспериментальное исследование.

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Multicriteria analysis and genetic algorithms for mass appraisals in the Italian property market

International Journal of Housing Markets and Analysis ◽

10.1108/ijhma-04-2017-0034 ◽

2018 ◽

Vol 11 (2) ◽

pp. 229-262 ◽

Cited By ~ 14

Author(s):

Pierluigi Morano ◽

Francesco Tajani ◽

Marco Locurcio

Keyword(s):

Genetic Algorithms ◽

Real Estate ◽

Polynomial Regression ◽

Real Estate Market ◽

Content Type ◽

The Real ◽

The Real Estate ◽

Multi Objective ◽

Evolutionary Polynomial Regression ◽

Residential Properties

Purpose This paper aims to test and compare two innovative methodologies (utility additive and evolutionary polynomial regression) for mass appraisal of residential properties. The aim is to deepen their characteristics, by exploring the potentialities and the operating limits. Design/methodology/approach With reference to the same case studies, concerning samples of residential properties recently sold in three Italian cities, the two procedures are tested and the results are compared. The first method is the utility additive, which interprets the process of the property price formation as a multi-criteria selection of multi-objective typology, where the selection criteria are the property characteristics that are decisive in the real estate market; the second method is a hybrid data-driven technique, called evolutionary polynomial regression, that uses multi-objective genetic algorithms to search those models expressions that simultaneously maximize accuracy of data and parsimony of mathematical functions. Findings The outputs obtained from the experimentation highlight the potentialities and the limits of the two methodologies, as well as the possibility of jointly applying them to interpret and predict the real estate phenomena in a more realistic representation. Originality value In all countries, mass appraisal techniques have become strategic for the definition of management and enhancement policies of public and private property assets, in the case of investments of technical and economic refunctionalization (energy, environment, etc.), and for the alienation of buildings no longer suitable for public needs (military barracks, hospitals, areas in disuse, etc.). In this context, the use of mass appraisal techniques for residential properties assumes a leading role for sector operators (buyers, sellers, institutions, insurance companies, banks, real estate funds, etc.). Therefore, the results of the applications outline the potentialities of the two methodologies implemented and the opportunity of further insights of the topics that have been dealt with in this research.

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