Name	Optimal activity planning and scheduling for complex systems
Theme	Diagnosis of large scale discrete event systems
Begin	2005
State	Ongoing
Description	Apart from the main DREAM scientific topics, research topics that were previously conducted at Laboratoire de Génie de Production, ENIT, Tarbes have also been extended in 2007. In one hand, a generic framework for scheduling the activities of complex systems under uncertainty have been completed and presented both to the international AI community [8] and to the specific planning and learning French community [9]. An extended version has also been submitted to a special track of the Journal of Scheduling. On the other hand, a co-supervised PhD addressing a complex vehicle routing problem for waste collecting in a district area, with multiple optimization criteria, has produced some first results [6], [22]. That line of works is tightly connected to the approaches the DREAM team is now developing within the WS-DIAMOND project. It considers both diagnosis and planning of repair actions (see 6.1.3). It found an obvious extension within a collaborative work started in mid-2007 with the GREYC laboratory of the University of Caen, through a PhD thesis co-supervision, addressing the overall problem of configuration (i.e. service selection and activity planning), diagnosis and re-configuration/repair of distributed web-services.