We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
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...
An important halftoning problem faced in the design of many color printers and copiers is to represent a 24-bit color image by a small number of preset output colors, generally at...
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
Fernando Mateo, Dusan Sovilj, Rafael Gadea Giron&e...