Evolutive complex scheduling in interaction networks for quality improvment in geographical data base updating

The aim of this paper is to propose a scheduling processes for the mechanism of geographical data bases updating in term of improvement of its quality. Because of the complex interacting network of the components involved in each updating cycle of this mechanism, a traditional analytic solver cannot success in most cases. So we propose to use an evolutionary computation based on a genetic algorithm which is well adapted for the complex interaction network of the involved components. A genetic algorithm may allow to improve the updating quality in increasing the validation rate of a transaction.