Abstract. Constraint Programming is a proven successful technique, but it requires skill in modeling problems, and knowledge on how algorithms interact with models. What can be a g...
Alfio Vidotto, Kenneth N. Brown, J. Christopher Be...
Abstract. Recently Schuler [17] presented a randomized algorithm that solves SAT in expected time at most 2n(1−1/ log2(2m)) up to a polynomial factor, where n and m are, respecti...
Real-time systems usually operate in an environment that changes continuously. These changes cause the performance of the system to vary during run time. An allocation of resource...
Finite-state processing is typically based on structures that allow for efficient indexing and sequential search. However, this “rigid” framework has several disadvantages when...
Alexander Troussov, Brian O'Donovan, Seppo Koskenn...
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...