A built-in self-test design with low power consumption based on genetic algorithm
Tan Enmin, Li Wang · 2009
A low peak power consumption built-in self-test (BIST) design based on genetic algorithm (GA), which is denoted by GAITPG, has been proposed in our previous study. This paper presents an improved performance of GAITPG, which also aims at the reduction of the changes between successive test patterns. (m-1) vectors were inserted between two successive n-bit pseudorandom test patterns generated by the original linear feedback shifted register (LFSR), while m and the element of groups were optimized by GA. Experimental results based on ISCAS'85 benchmark circuits show that the test pattern generator (TPG) with low power consumption proposed in this paper is efficient, without losing stuck-at fault coverage. Also, a comparison of reduction of power consumption between GAITPG and other scheme (such as inserted TPG (ITPG)) was reported.