Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Multi-level TAM optimization is necessary for modular testing of hierarchical SOCs that contain older-generation SOCs as embedded cores. We present two hierarchical TAM optimizati...
Vikram Iyengar, Krishnendu Chakrabarty, Mark D. Kr...
In this paper, we consider two approaches to solving an optimization based design problem where “shape” is the design parameter. Both methods use domain transformations to comp...
Estimating peak power involves optimization of the circuit's switching function. We propose genetic spot expansion and optimization in this paper to estimate tight peak power...
This paper considers the rate optimal VLSI design of a recursive data flow graph (DFG). Previous research on rate optimal scheduling is not directly applicable to VLSI design. We ...