Fano Algorithm only searches one path

and it may easily lose correct path when encountering severe noise interference.A new sequential decoding method based on Genetic algorithm is proposed.This method uses globally optimized iterative evolution search strategy and processes several paths simultaneously

so as to not only keep the maximum likelihood path but also extend some less likely paths. As a result

it can search wider range and trace the path optimally;it also can adjust the threshold self-adaptably to change the population size in order to decode correctly and rapidly.The basic theory and feasibility of its realization are discussed and used in the error correction of the video data transmission.The experimental results and performance evaluation have also been given.