Integration of Optimization Algorithmswith Sensitivity Analysis, withApplication to Volcanic RegionsVom Fachbereich Bauingenieurwesen und Geod¨asieder Technischen Universit¨at Darmstadtzur Erlangung des akademischen Grades einesDoktor-Ingenieurs (Dr.-Ing.)genehmigte Dissertation vonDipl.-Ing. Carola TiedeausBad HersfeldReferent: Prof. Dr.-Ing. Carl GersteneckerKorreferent: Prof. Dr. Kristy TiampoTag der Einreichung: 25.04.2005Tag der mundl¨ ichen Pruf¨ ung: 03.06.2005Darmstadt im April 2005D 17AbstractThe purpose of this thesis is the generation of improved optimization approaches,applied to a volcanic modeling.Neither local nor global optimization algorithms can guarantee the generationof a global optimization solution. Furthermore, the generated models have to beintegrated into the physical context of other available observations and models inthe specific volcanic region. A reliable optimization result can only be given by amodelwithsignificantdeterminedparameterswhichcanbeseenonsmalldispersionif the optimization is carried out several times as well as considering the results ofstatistical tests about the model fit. In addition, this model has to be validatedby additional information from other observation techniques and models. Differentimprovements of the optimization have been analyzed within this thesis:• The first approach is given by the definition of physical constraints, which areimplementedintotheoptimizationapproachbypenaltyterms.