The routing and scheduling of vehicles and their crews is an area of increasing importance. In this paper, we describe a large scale vehicle scheduling and routing problem which is of great importance to parcel distribution companies. We devise a Breeder Genetic Algorithm capable of dealing with up to 10,000 transportation requests to be serviced by an inhomogeneous fleet of vehicles within a 24 hour time interval. A transportation request is defined as the task to move a loaded container from one depot toanother. Since the depots do not send out the same number of containers as they receive, the amount of empty containers available at the depots has to be balanced. The optimization task, therefore, is twofold: determine appropriatebalance tours and find a lowcost schedule for the fleet of vehicles.