Robust Estimation of Deformation from Observation Differences Using Some Evolutionary Optimisation Algorithms.

ABSTRACT: In this paper, an original modification of the generalised robust estimation of deformation from observation differences (GREDOD) method is presented with the application of two evolutionary optimisation algorithms, the genetic algorithm (GA) and generalised particle swarm optimisation (GPSO), in the procedure of robust estimation of the displacement vector. The iterative reweighted least-squares (IRLS) method is traditionally used to perform robust estimation of the displacement vector, i.e., to determine the optimal datum solution of the displacement vector. In order to overcome the main flaw of the IRLS method, namely, the inability to determine the global optimal datum solution of the displacement vector if displaced points appear in the set of datum network points, the application of

SUBMITTER: Batilovic M 

PROVIDER: S-EPMC8749742 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature