Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
The software codec on mobile device introduces significant power consumption because the energy efficiency of general processor based system is much lower than that of the dedicat...
Min Li, Xiaobo Wu, Zihua Guo, Richard Yao, Xiaolan...
A framework for task assignment in heterogeneous computing systems is presented in this work. The framework is based on a learning automata model. The proposed model can be used f...
We describe methods of identifying and exploiting sharing patterns in multi-threaded DSM applications. Active correlation tracking is used to determine the affinity, or amount of ...
In this paper we describe a stochastic local search (SLS) procedure for finding satisfying models of satisfiable propositional formulae. This new algorithm, gNovelty+ , draws on th...
Duc Nghia Pham, John Thornton, Charles Gretton, Ab...