The parametric identification/correction (updating) of dynamic finite element
models is here tackled using genetic algorithms. The main advantage with
respect to deterministic approaches is a lower sensitivity to measurement
noise: this allows using less precise measurement techniques as well as to
avoid sophisticated regularisation procedures. The goal of the formulation is
to minimise an appropriate combination of the natural frequency error, the
correlation error and the response residual. The method is tested by updating
a three dimensional steel structure, fixed at one end, whose frequency
response is previously measured
