Abstract—In this paper the author presents three approaches to parallel Tabu Search, applied to several instances of the Capacitated Vehicle Routing Problem with Time Windows (CV...
Conventional classification learning allows a classifier to make a one shot decision in order to identify the correct label. However, in many practical applications, the problem ...
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
We propose a novel two-level Boolean minimizer coming in succession to our previously developed minimizer BOOM, so we have named it BOOM-II. It is a combination of two minimizers,...
Functional verification is one of the major bottlenecks in microprocessor design. Simulation-based techniques are the most widely used form of processor verification. Efficient ...