Ahmed Lehireche

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Ontologies are widely used in several areas with applications including knowledge Management, Web commerce and electronic business. An ontology provides a consensus of concept specifications for a specific domain shared by a group of people. In this paper we deal with Ontology Learning, specifically we aim to adapt the WordNet ontol-ogy, a general source of(More)
Evolutionary Engineering (EE) is defined to be " the art of using evolutionary algorithms approach such as genetic algorithms to build complex systems ". This paper deals with a neural net based system. It analyses ability of genetically trained neural nets to control Simulated robot arm, witch tries to track a moving object. In difference from classical(More)
Recent signijkant advances in artijicial intelligence have led to the emergence of new concepts of soji computing genetic programming, evolutionary engineering, hybrid intelligent systems, and artijicial life. EE design relies on evolutionary algorithms to construct or evolve complex systems. This paper is intended to highlight the concept of evolutionaly(More)
By these days, most companies are more aware of than ever in providing quality of services over the web for reasons of economy, reliability, interoperability, flexibility, and universality. Enterprise application integration may rely on B2B scenarios where several candidate services with similar capabilities are provided by different service providers. The(More)
Ad hoc network is a set of nodes that are able to move and can be connected in an arbitrary manner. Each node acts as a router and communicates using a multi-hop wireless links. Nodes within ad hoc networks need efficient dynamic routing protocols to facilitate communication. An Efficient routing protocol can provide significant benefits to mobile ad hoc(More)
Dans cet article nous présentons un automate cellulaire (Class_AC) pour résoudre un problème de text mining en l'occurrence la classification non supervisée (Clustering). Avant de procéder à l'expérimentation par l'automate cellulaire, nous avons vectorisés nos données en procédant à l'indexation des documents textuels provenant de la base de donnée REUTERS(More)
In this article we present a 2D cellular automaton (Class_AC) to solve a problem of text mining in the case of unsupervised classification (clustering). Before to experiment the cellular automaton, we vectorized our data indexing textual documents from the database REUTERS 21,578 by Wordnet approach and the representation of text documents by the method(More)