A real vehicle scheduling problem conceming the urban public A
transportation system of the city of Mestre (Venice) has been approached by a Genetic Algorithm enhanced using redundancies. Redundant alleles fix the string at cross-over positions in order to improve solution feasibility. The scheduling problem has been studied both as a single and as a multiple objective optimisation problem. A significant reduction of resources as compared to the currently used solution has been achieved.
