Pareto optimality solution of the Gauss-Helmert model

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Pareto optimality solution of the Gauss-Helmert model

The Pareto optimality method is applied to the parameter estimation of the Gauss-Helmert weighted 2D similarity transformation assuming that there are measurement errors and/or modeling inconsistencies. In some cases of parametric modeling, the residuals to be minimized can be expressed in different...

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Bibliographic Details
Main Authors:	Palancz, B., Awange, Joseph, Völgyesi, L.
Format:	Journal Article
Published:	Springer 2013
Subjects:	Gauss-Helmert transformation parameter estimation pareto optimality genetic algorithm least squares approach measurement and modeling errors
Online Access:	http://hdl.handle.net/20.500.11937/21823

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