This paper addresses the problem of minimizing the clock period of a circuit by optimizingthe clock skews. We incorporate uncertainty factors and present a formulation that ensure...
The traditional focus of relational query optimization schemes has been on the choice of join methods and join orders. Restrictions have typically been handled in query optimizers ...
Interconnect-driven optimization is an increasingly important step in high-performance design. Algorithms for buffer insertion have been successfully utilized to reduce delay in gl...
Charles J. Alpert, Anirudh Devgan, Stephen T. Quay
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...