Abstract: A novel blind signal separation algorithm based on differential search was proposed for solving the high calculated amount problem in blind signal separation algorithm based on bio-inspired optimization. The temporal predictability of signal was used as the objective function and the differential search algorithm was used for solving it. The source signal component separated was wiped off using deflation method and all the source signals could be recovered successfully by repeating the separation process. Simulation results show that the algorithm can achieve blind separation from mixed signals efficiently with very high separation precision and very low computing time.