Traditionally, in order to solve geodetic network optimization problems analytical methods such as linear and nonlinear programming or simulation methods are used. However, global optimization techniques such as genetic algorithm (GA) and particle swarm optimization (PSO) algorithm are increasingly used today to solve geodetic network optimization problems. In this paper, an application of these algorithms in second order design optimization of the geodetic network for the dam Liverovići is proposed. Since the subject of the analysis is the geodetic network for monitoring the dam, an optimality criterion is defined based on the sensitivity parameters of the geodetic network.

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The paper analyzes two geodetic methods for data collection-geometric levelling and static GNSS (Global Navigation Satellite System). For the purpose of monitoring the occurrence of landslide and deformations-the subsidence of the terrain and object (St. Nicholas Church in Stari Slankamen), the localization and stabilization of one-dimensional micro-network in the area surrounding the church was performed. The network was developed on a stable terrain as a reference basis for observing the church's subsidence by means of geodetic benchmarks built into the very foundations of the church. Height differences between the points of the network were determined by using geometric levelling and static GNSS method and the obtained values were compared. The height differences obtained with these two methods vary several millimeters. Based on the conducted research, the paper considers advantages and disadvantages of both methods, analysis the accuracy of the obtained results and possible application of these two methods.

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