JOURNAL OF FACULTY OF CIVIL ENGINEERING 48, 2025.y., pp. 96-107
APPLICATION OF GENETIC ALGORITHM IN THE OPTIMIZATION OF GEODETIC NETWORKS: ANALYSIS ON THE EXAMPLE OF NETWORKS DESIGNED FOR LAND CONSOLIDATION PURPOSES| |
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| DOI: 10.14415/JFCE-926 |
| UDC: 528.3 |
| CC-BY-SA 4.0 license |
| Author : Ilić, Zoran; Kuželka, Darko; Bojović, Bogdan; Krstić, Vladica |
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| | Summary: |
| | In this paper, the theoretical foundation of geodetic networks and the methodology of their design are presented, with particular emphasis on the mathematical model of adjustment and the principles of optimization using the Genetic Algorithm (GA). The key criterion of the analysis pertains to the network accuracy, quantified through the standard deviations of point coordinates. The preliminary accuracy assessment was conducted using the Gauss–Markov model, which enables a reliable evaluation of the network precision prior to the optimization process. The practical part of the study includes an example of geodetic network optimization for the purposes of land consolidation surveying in the cadastral municipality of Češko Selo. The optimization was implemented in the MATLAB environment, with carefully tuned parameters of the genetic algorithm. The obtained results indicate that GA effectively identifies the optimal distribution of observation weights and improves the positioning of new points, thereby reducing the total number of observations while maintaining the accuracy and reliability criteria. The standard deviations of the coordinates remained within the predefined limits, confirming that an optimal balance between precision and resource rationalization was achieved. The results demonstrate that the application of second-order optimization represents an efficient approach to the design and planning of modern high-precision geodetic networks. |
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| | Keywords: |
| | geodetic networks, second-order optimization, observation weights, accuracy, reliability, genetic algorithm, |
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