Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
Alexander E. I. Brownlee, John A. W. McCall, Deryc...
Cellular Genetic Algorithms (cGAs) are a subclass of Genetic Algorithms (GAs) in which the population diversity and exploration are enhanced thanks to the existence of small overla...
This paper describes the development and application of a piece of engineering software that provides a Problem Solving Environment (PSE) capable of launching, and interfacing wit...
C. E. Goodyer, Martin Berzins, Peter K. Jimack, L....
Failure diagnosis in large and complex systems is a critical task. A discrete event system (DES) approach to the problem of failure diagnosis is presented in this paper. A classic...
Calin Ciufudean, Adrian Graur, Constantin Filote, ...
Scheduling problems can be seen as a set of temporal metric and disjunctive constraints. So, they can be formulated in terms of CSPs techniques. In the literature, there are CSP-b...