%0 Journal Article %A J.-C. Créput and A. Koukam and A. Hajjam %D 2007 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 12, 2007 %T Self-Organizing Maps in Evolutionary Approachmeant for Dimensioning Routes to the Demand %U https://publications.waset.org/pdf/11533 %V 12 %X 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 stops minimization and to deal with capacity constraints. We apply the approach to a real-life case of combined clustering and vehicle routing for the transportation of the 780 employees of an enterprise. Basing upon a geographic information system we discuss the influence of road infrastructures on the solutions generated. %P 3813 - 3820