ABSTRACT
In the present study, a comprehensive decision support system is developed for maintenance strategies with/without annual budget limitations based on life cycle cost analysis of an entire bridge inventory, which form part of a highway network. Since formulation of an optimum bridge maintenance program for an entire stock of bridge structures is usually impeded by a lack of sufficient information on their existing conditions, the capability of the system was tried out, with a view to enhancing its capability, by applying it to a limited number of individual existing bridges, categorized as belonging to a typical bridge inventory. Genetic Algorithm is adapted, in order to obtain the semi-optimal solutions in this problem.
