With the increase in information on the Internet, the strive to find more effective tools for
distinguishing between interesting and non-interesting material is increasing. Drawing …

In this paper, we propose a new Pareto generic algorithm, called GISMOO, which hybridizes
genetic algorithm and artificial immune systems. GISMOO algorithm is generic in the sense …

In recent years evolutionary and immune-inspired approaches have been applied to content-
based and collaborative filtering. These biologically inspired approaches are well suited to …

Le travail présenté dans cette thèse traite de l'extraction de connaissances à l'aide de
métaheuristiques et de ses applications à des problématiques en génomique. Dans un …

AIRS, a resource limited artificial immune classifier system, has performed well on
elementary classification tasks. This paper proposes the use of this system for the more …

Adaptive information filtering is a challenging and fascinating problem. It requires the
adaptation of a representation of a user's multiple interests to various changes in them. We …

This paper proposes an extended negative selection algorithm for anomaly detection. Unlike
previously proposed negative selection algorithms which directly construct detectors in the …

This paper proposes the design of an evolutionary algorithm for building classifiers
specifically aimed towards performing classification and sentiment analysis over texts …

Abstract Artificial Immune Systems are well suited to the problem of using a profile
representation of an individual's or a group's interests to evaluate documents. Nootropia is a …

Adaptive information filtering is a challenging research problem. It requires the adaptation of
a representation of a user's multiple interests to various changes in them. We investigate the …