Pseudorandom number generators based on evolutionary algorithm

摘要

A family of novel pseudorandom number generators is proposed based on an evolutionary algorithm. These pseudorandom number generators are expressed as EAPRNG. EAPRNGs are driven by some existed simple and unsafe generators which are denoted by mother generators (MG), while outputs of the MGs are hidden by EAPRNGs. The analysis indicates that EAPRNGs are resistant to many known attacks, and that they have good statistical properties, such as uniform probability distribution over GF (2/sup l/) and large periods.