The aim of this discussion paper is to stimulate (or perhaps to provoke) stronger interactions among theoreticians and practitioners interested in efficient problem solutions. We ...
We consider the problem of scheduling on parallel uniformly related machines, where preemptions are allowed and the machines are controlled by selfish agents. Our goal is to minimi...
Abstract-- This paper proposes a novel power-aware multifrequency wrapper architecture design to achieve at-speed testability. The trade-offs between power dissipation, scan time a...
In this paper, we describe an objective-based Data Farming approach for red teaming called Automated Red Teaming (ART). The main idea is to develop an ART framework using Evolutio...
Ching Lian Chua, Wee Chung Sim, Chwee Seng Choo, V...
This paper presents an investigation into exploiting the population-based nature of Learning Classifier Systems for their use within highly-parallel systems. In particular, the use...
Larry Bull, Matthew Studley, Anthony J. Bagnall, I...