Title :
Genetic algorithm based state assignment for power and area optimisation
Author :
Xia, Y. ; Almaini, A.E.A.
Author_Institution :
Sch. of Eng., Napier Univ. of Edinburgh, UK
fDate :
7/1/2002 12:00:00 AM
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
Keywords :
finite state machines; genetic algorithms; state assignment; area optimisation; cost functions; finite-state machines; genetic algorithm based state assignment; power dissipation; power optimisation; switching activity;
Journal_Title :
Computers and Digital Techniques, IEE Proceedings -
DOI :
10.1049/ip-cdt:20020431