We introduce a master–worker framework for parallel global optimization of computationally expensive functions using response surface models. In particular, we parallelize two r...
We introduce the first algorithm for off-policy temporal-difference learning that is stable with linear function approximation. Off-policy learning is of interest because it forms...
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
In this paper we set the first steps towards the development of a commercially viable tool that uses evolutionary computation to address the Product to Shelf Allocation Problem (P...
— In this paper, we present a new interconnect delay model called Fitted Elmore delay (FED). FED is generated by approximating Hspice delay data using a curve fitting technique....
Arif Ishaq Abou-Seido, Brian Nowak, Chris C. N. Ch...