Use of the Particle Swarm Optimization Algorithm for Second Order Design of Levelling Networks
dc.contributor.author | Yetkin, Mevlüt | |
dc.contributor.author | İnal, Cevat | |
dc.contributor.author | Yiğit, Cemal Özer | |
dc.date.accessioned | 2020-03-26T17:45:56Z | |
dc.date.available | 2020-03-26T17:45:56Z | |
dc.date.issued | 2009 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | The weight problem in geodetic networks can be dealt with as an optimization procedure. This classic problem of geodetic network optimization is also known as second-order design. The basic principles of geodetic network optimization are reviewed. Then the particle swarm optimization (PSO) algorithm is applied to a geodetic levelling network in order to solve the second-order design problem. PSO, which is an iterative-stochastic search algorithm in swarm intelligence, emulates the collective behaviour of bird flocking, fish schooling or bee swarming, to converge probabilistically to the global optimum. Furthermore, it is a powerful method because it is easy to implement and computationally efficient. Second-order design of a geodetic levelling network using PSO yields a practically realizable solution. It is also suitable for non-linear matrix functions that are very often encountered in geodetic network optimization. The fundamentals of the method and a numeric example are given. | en_US |
dc.identifier.citation | Yetkin, M., Yetkin, M., Yiğit, C. Ö., (2009). Use of the Particle Swarm Optimization Algorithm for Second Order Design of Levelling Networks. Journal of Applied Geodesy, (3), 171-178. Doi: 10.1515/JAG.2009.018 | |
dc.identifier.doi | 10.1515/JAG.2009.018 | en_US |
dc.identifier.endpage | 178 | en_US |
dc.identifier.issn | 1862-9016 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 171 | en_US |
dc.identifier.uri | https://dx.doi.org/10.1515/JAG.2009.018 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/24216 | |
dc.identifier.volume | 3 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Yetkin, Mevlüt | |
dc.institutionauthor | İnal, Cevat | |
dc.institutionauthor | Yiğit, Cemal Özer | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Journal of Applied Geodesy | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | geodetic network optimization | en_US |
dc.subject | global optimization | en_US |
dc.subject | Particle swarm optimization | en_US |
dc.subject | second-order design | en_US |
dc.subject | stochastic optimization | en_US |
dc.title | Use of the Particle Swarm Optimization Algorithm for Second Order Design of Levelling Networks | en_US |
dc.type | Article | en_US |
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