An immuno-inspired algorithm is proposed to generate white noise sequences.
The algorithm is based on the optimization of a whiteness criterion.
A whiteness criterion is clearly stated and implemented.
The algorithm presents an automatic regulation of suppression threshold.
The results obtained are better than ones obtained with a pseudo-random generator.