Abstract
Geodetic networks are very important tools that can be used to monitor crustal movements or the deformation of structures. However, a geodetic network must be designed to sufficiently meet some network quality requirements such as accuracy, reliability, sensitivity and economy. This is the subject of geodetic network optimization. Traditional methods have been used for solving geodetic optimization problems. On the other hand, some evolutionary algorithms such as the particle swarm optimization algorithm have been started to be recently used. These methods are inspired by optimization and adaptation processes that are encountered in the nature. They are iterative procedures for quickly and efficiently solving complex optimization problems. They may provide global optimum solution or at least near-optimum solutions to problems. In this paper, the use of the shuffled frog-leaping algorithm for the optimal design of a deformation monitoring network is studied. The aim is to design and optimize a geodetic network in terms of high reliability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Amiri B, Fathian M, Maroosi A (2009) Application of shuffled frog leaping algorithm on clustering. Int J Adv Manuf Technol 45:199–209
Baarda W (1968) A testing procedure for use in geodetic networks. Neth. Geod. Com. Publ. On Geodesy, New Series, No. 5. Delft, Netherlands
Berné JL, Baselga S (2004) First-order design of geodetic networks using the simulated annealing method. J Geod 78:47–54
Dare P, Saleh H (2000) GPS network design: logistics solution using optimal and near-optimal methods. J Geod 74:467–478
Elbeltagi E, Hegazy T, Grierson D (2005) Comparison among five evolutionary-based algorithms. Adv Eng Inform 19:43–53
Eusuff MM, Lansey KE (2003) Optimizing of water distribution network. J Water Resour Plann Manage 129(3):210–225
Eusuff MM, Lansey KE, Pasha F (2006) Shuffled frog leaping algorithm: a memetic metaheuristic for discrete optimisation. J Eng Opt 38(2):129–154
Grafarend EW (1974) Optimization of geodetic networks. Bolletino di Geodesia a Science Affini 33(4):351–406
Grafarend EW, Sanso F (1985) Optimisation and design of geodetic network analysis and optimal design. Springer, Berlin
Kuang SL (1996) Geodetic network analysis and optimal design. Ann Arbor, Ann Arbor
Niemeier W (1982) Design, diagnosis and optimization of monitoring networks in engineering surveying. The Centennial Convention of CIS, April 19–23, Ottowa
Pelzer H (1980) Some criteria for the accuracy and the reliability of geodetic networks, DGK, B, No: 252, Munich, pp 55–67
Rahimi-Vahed A, Mirzaei AH (2007) A hybrid shuffled frog leaping algorithm for a mixed model assembly line sequencing problem. Comput Ind Eng 53:642–666
Seemkooei AA (2001a) Comparison of reliability and geometrical strength criteria in geodetic networks. J Geod 75:227–233
Seemkooei AA (2001b) Strategy for designing geodetic network with high reliability and geometrical strength. J Surv Eng 127(3):104–117
Yang XS (2008) Nature-inspired metaheuristic algorithms. Luniver, Cambridge
Yang XS (2010) Firefly algorithm, stochastic test functions and design optimization. Int J Bio-inspired Comput 2(2):78–84
Yetkin M (2013) Metaheuristic optimisation approach for designing reliable and robust geodetic networks. Surv Rev 45(329):136–140
Yetkin M, Inal C, Yigit CO (2009) Use of the particle swarm optimization algorithm for second-order design of levelling networks. J Appl Geod 3:171–178
Acknowledgment
This study was funded by the Scientific Research Projects Grant of Selcuk University (Project No: 11701016).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Yetkin, M., Inal, C. (2015). Optimal Design of Deformation Monitoring Networks Using the Global Optimization Methods. In: Kutterer, H., Seitz, F., Alkhatib, H., Schmidt, M. (eds) The 1st International Workshop on the Quality of Geodetic Observation and Monitoring Systems (QuGOMS'11). International Association of Geodesy Symposia, vol 140. Springer, Cham. https://doi.org/10.1007/978-3-319-10828-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-10828-5_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10827-8
Online ISBN: 978-3-319-10828-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)