Paper Title:
Optimization Algorithms for System Integration
  Abstract

This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising in structural dynamics and related to (1) model parameter estimation used for finite element model updating, (2) model-based damage detection in structures and (3) optimal sensor location for parameter estimation and damage detection. These problems are formulated as single- and multi-objective optimization problems of continuous or discrete-valued variables. Gradient-based, evolutionary, hybrid and heuristic algorithms are presented that effectively address issues related to the estimation of multiple local/global solutions and computational complexity arising in single and multi-objective optimization involving continuous and discrete variables.

  Info
Periodical
Edited by
Pietro VINCENZINI and Fabio CASCIATI
Pages
514-523
DOI
10.4028/www.scientific.net/AST.56.514
Citation
C. Papadimitriou, E. Ntotsios, "Optimization Algorithms for System Integration", Advances in Science and Technology, Vol. 56, pp. 514-523, 2008
Online since
September 2008
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$32.00
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