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Journal of Applied Geodesy

Editor-in-Chief: Kahmen, Heribert / Rizos, Chris


CiteScore 2018: 1.61

SCImago Journal Rank (SJR) 2018: 0.532
Source Normalized Impact per Paper (SNIP) 2018: 1.064

Online
ISSN
1862-9024
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Volume 8, Issue 1

Issues

Comparison of PSO, GAs and Analytical Techniques in Second-Order Design of Deformation Monitoring Networks

Mohamed I. Doma / Ahmed A. Sedeek
Published Online: 2014-04-08 | DOI: https://doi.org/10.1515/jag-2013-0013

Abstract

Deformation monitoring is a kind of continuous recording positions (horizontal and vertical coordinates) precisely regardless the deformation pattern and instrument used. In general, a deformation monitoring network can be designed using the trial and error method or analytical methods such as linear programming and nonlinear programming. Recently, a deformation monitoring network may also be designed by heuristic optimization algorithms such as Genetic Algorithms (GAs), Particle Swarm Optimization (PSO) and Simulated Annealing (SA). In this paper, GAs and PSO, which are heuristic optimization techniques, are applied to a geodetic horizontal deformation monitoring networks to solve second-order design problem. The results proved that both GAs and PSO can be used as alternative methods in place of the traditional optimization techniques with high eficiency.

Keywords : Deformation monitoring networks; Heuristic optimization techniques; SOD; Genetic algorithms; Particle swarm optimization

About the article

Published Online: 2014-04-08

Published in Print: 2014-04-01


Citation Information: Journal of Applied Geodesy, Volume 8, Issue 1, Pages 21–30, ISSN (Online) 1862-9024, ISSN (Print) 1862-9016, DOI: https://doi.org/10.1515/jag-2013-0013.

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© 2014 by Walter de Gruyter Berlin/Boston.Get Permission

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