  This letter proposes a fast identification algorithm for Wiener-Hammerstein
systems. The computational cost of separating the front and the back linear
time invariant block dynamics is significantly improved by using discrete
optimization. The discrete optimization is implemented as a genetic algorithm.
Numerical results confirm the efficiency and accuracy of the proposed approach.
