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Title: FAST HEURISTIC ALGORITHM OF SEARCHING HAMILTONIAN PATH IN GRAPH
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FAST HEURISTIC ALGORITHM OF SEARCHING HAMILTONIAN PATH IN GRAPH
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1314-2704
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English
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17
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21
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This paper describes the optimized algorithm for searching Hamiltonian path in graph. Formerly a similar algorithm was developed for the finding of the optimized path in terrain for finding of the precise positioning of Global Navigation Satellite Systems (GNSS) via Real Time Kinematics (RTK) method. The aim of this method is to achieve quality GNSS observation on all the points in question, so that the total length of the path within all these points can be minimized. There are nodes of two types in the graph: 1) geodetic points on which we are supposed to measure by GNSS methods and 2) non-geodetic (subsidiary) points. The task is made more difficult because the GNSS points are properly measurable merely under good observation conditions (number and configuration of satellites). Considering the fact, that observation conditions on GNSS points change (which is given by GNSS principle); the proposed algorithm solves optimal utilization of observation conditions on geodetic points in the context of transferring measuring devices to make the path as short as possible. The core of the algorithm is testing the selected significant combination of all nodes of graph in the matrix of distances. The resulting Hamiltonian path is not minimized but the algorithm is very fast ? the time difficulty is O(2*n), where n is number of nodes in the graph. The software application is created in Borland Delphi. One of the outputs of optimized solutions is also the presentation of the proposal of the resulting path in the terrain by on-line geo-web application in internet browser. The application has a general utilization in the accurate GNSS measurements for building of control network of constructions or in geodynamics.
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conference
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17th International Multidisciplinary Scientific GeoConference SGEM 2017
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17th International Multidisciplinary Scientific GeoConference SGEM 2017, 29 June - 5 July, 2017
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
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895-902
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29 June - 5 July, 2017
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website
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cdrom
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3041
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heuristic algorithm; Hamiltonian path; optimization; GNSS.
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