Iterative retiming and resynthesis is a powerful way to optimize sequential circuits but its massive adoption has been hampered by the hardness of verification. This paper tackle...
Nikolaos D. Liveris, Hai Zhou, Prithviraj Banerjee
In this paper we propose a new algorithm for learning polyhedral classifiers. In contrast to existing methods for learning polyhedral classifier which solve a constrained optimiza...
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
The problem of optimization of subband coders for given input statistics has received considerable attention in recent literature. The goal in these works has been to maximize the...
SBSE techniques have been widely applied to requirements selection and prioritization problems in order to ascertain a suitable set of requirements for the next release of a syste...
Yuanyuan Zhang, Enrique Alba, Juan J. Durillo, Sig...