Summary

With the increasing use of battery operated mobile electronic devices, VLSI circuit designers am continuously focusing on approaches to low power designs. We present an evolutionary cell placement technique for low power VLSI standard cell placement. The proposed technique is based on two evolutionary algorithms namely Tabu Search and Genetic Algorithm. Experiments were carried out using representative circuits from ISCAS85/89 benchmark suite. For the comparison purposes, we also implemented CA for our problem and compared placements results of the proposed technique to those of GA. The comparison shows that the proposed technique outperforms CA both in terms of quality of final placement solution obtained as well as CPU run time requirements