Evolutionary approach for model refinement

In this paper, Genetic Algorithm (GA) based approaches for finite element m odel topology and parameter adjustment are investigated. Genetic algorithms are one form of directed random search. The form of direction is based on Darwin's 'survival of the fittest' theories. In this paper, an advancement in GA theory is proposed and evaluated to enhance GA search characteristics . The GA-based model refinement process makes use of experimental data to e volve a better correlated finite element model. The model refinement proble m is formulated such that the sensitivity of the update to the presence of either analytical or experimental closely spaced modes of vibration is redu ced. (C) 1999 Academic Press.