The memory BIST insertion involves the simultaneous optimization of several conflicting and competing objectives such as test time and power consumption during the test execution procedure. In this paper, a new memory BIST methodology is proposed which optimizes area overhead, test power and test time. It exploits Genetic Algorithms to find a set of Pareto optimal solutions. Since the designer is given a set of trade-off solutions between the three criteria, thus he can choose the most suitable one for his memory testing needs. The proposed algorithm is rigorously tested using several industrial designs.
['Lilia Zaourar', 'Yann Kieffer', 'Arnaud Wenzel']
A multi-objective optimization for memory BIST sharing using a genetic algorithm