Optimization methods in geodetic networks

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Optimization methods in geodetic networks

Popis výsledku v původním jazyce

The optimization of geodetic network is often neglected but very important topic in the field of engineering surveying. The optimization is necessary especially for networks with high accuracy requirements like deformations monitoring networks. Mathematical optimization is often replaced by a design based on experience developed on the basis of known accuracy of elementary tasks. Optimization means minimizing measurement costs fulfilling the requirements for accuracy or reliability. We distinguish several types of optimization by parameters of geodetic network deals with. They are called zero, first, second and third order design. Most of the articles engage in first and second order design, which solve optimal point position and weight of observations respectively. These problems are solvable by well-known optimization algorithms like linear or quadratic programming. These algorithms generally operate but practical use is rare. Recently, many new optimization algorithms were created in connection with strong increases in computing power. Examples include genetic algorithms, simulated annealing or particle swarm algorithm. These methods can be applied to geodetic networks and can solve previously unsolvable problems. In this paper, will be discussed known methods of optimization and will be evaluated applicability of them in designing of real networks.

Název v anglickém jazyce

Optimization methods in geodetic networks

Popis výsledku anglicky

The optimization of geodetic network is often neglected but very important topic in the field of engineering surveying. The optimization is necessary especially for networks with high accuracy requirements like deformations monitoring networks. Mathematical optimization is often replaced by a design based on experience developed on the basis of known accuracy of elementary tasks. Optimization means minimizing measurement costs fulfilling the requirements for accuracy or reliability. We distinguish several types of optimization by parameters of geodetic network deals with. They are called zero, first, second and third order design. Most of the articles engage in first and second order design, which solve optimal point position and weight of observations respectively. These problems are solvable by well-known optimization algorithms like linear or quadratic programming. These algorithms generally operate but practical use is rare. Recently, many new optimization algorithms were created in connection with strong increases in computing power. Examples include genetic algorithms, simulated annealing or particle swarm algorithm. These methods can be applied to geodetic networks and can solve previously unsolvable problems. In this paper, will be discussed known methods of optimization and will be evaluated applicability of them in designing of real networks.

Druh

D - Stať ve sborníku

CEP obor

DE - Zemský magnetismus, geodesie, geografie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

16th International Multidisciplinary Scientific Geoconference SGEM 2016 Book 2 Informatics, Geoinformatics,and Remote Sensing Volume II

ISBN

978-619-7105-59-9

ISSN

1314-2704

e-ISSN

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Počet stran výsledku

8

Strana od-do

479-486

Název nakladatele

International Multidisciplinary Scientific GeoConference SGEM

Místo vydání

Sofia

Místo konání akce

Albena

Datum konání akce

28. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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