Abderraf́ıâa KOUKAM

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This paper presents the JaSIM environment model. It gathers experiences collected on design of the environment — as a first-class entity — coming from both multiagent and computer graphics domains. Its main goal consists in providing a sets of models and tools to easily implement crowd and traffic MABS. JaSIM integrates efficient hierarchical and(More)
Scalability is one of critical challenges for link-state routing protocols in mobile wireless networks. Reducing routing overhead is the key to resolve the scalability problem. In this context, we propose a new link state routing protocol named CLSR. It uses clustering to reduce the routing overhead and the size of routing table. It introduces one level(More)
We present a non standard Euclidean vehicle routing problem adding a level of clustering, and we revisit the use of self-organizing maps as a tool which naturally handles such problems. We present how they can be used as a main operator into an evolutionary algorithm to address two conflicting objectives of route length and distance from customers to bus(More)
This work presents a method, which performs edge stereo matching at different levels, from significant edges to less significant ones. At each level, the process starts by selecting the significant edges with respect to their gradient magnitude. The selected edges are then matched in order to obtain the reference edges from which less significant edges are(More)
In this paper we propose the formalization of the stage Design of our methodological approach MAMA−SDIS. This methodology allows the modeling of systems from the class of the distributed industrial problems, such as enterprise consortiums and virtual enterprises. The stage Design ofMAMA−SDIS provides a multi-agent model of the system. It uses the(More)
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