Genetic algorithm based state assignment for power and area optimisation

Abstract

The use of assignment to minimise power dissipation and area for finite-state machines is computationally difficult. Most published results show that the reduction of switching activity often trades with area penalty. Two cost functions are introduced and a genetic algorithm is used to optimise the cost functions. Experimental results show a significant reduction of switching activity without area penalty or with smaller area penalty than previous publications.