To analyze both hamming distance and cartesian distance

by improved the test sequences relevance by the classical cellular automate (CA)

optimization of BIST test vectors with pre-determined distance is proposed.The method through achieving maximum of the Hamming distance and pre-setting Cartesian distance to generate pre-determined distance test sequences

then gaining the best pre-determined test sequences by the global optimization operation of genetic algorithm.The results of ISCSA85 experiment indicates that

the pre-determined test vectors generated by this testing method has higher fault coverage ratio and test efficiency than LFSR-CA structure

which makes the method in testing is more effective in testing hard-detected faults.