Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
Wlodzislaw Duch, Norbert Jankowski, Krzysztof Grab...
This paper presents a theoretical definition for designing EDAs called Elitist Convergent Estimation of Distribution Algorithm (ECEDA), and a practical implementation: the Boltzm...
— Ant-colony optimization (ACO) is a popular swarm intelligence metaheuristic scheme that can be applied to almost any optimization problem. In this paper, we address a performan...
Continuing in the steps of Jon Kleinberg's and others celebrated work on decentralized search, we conduct an experimental analysis of destination sampling, a dynamic algorithm...
Olof Mogren, Oskar Sandberg, Vilhelm Verendel, Dev...
Ubiquitous applications are characterised by variations of their execution context. Their correct operation requires some continual adaptations based on the observation of their e...