This paper studies the recovery of an intermodal freight system from a major disruption and develops a model for optimizing vehicle schedules under disrupted conditions. The proposed model optimizes the recovery of a single-terminal system with relatively short feeder routes on which vehicle roundtrip times are exponentially distributed and arrivals at the terminal are Poisson-distributed. Mathematical expecta-tions are used to formulate the deterministic equivalent for the scheduling problem and a genetic algo-rithm is applied to optimize the schedules on main routes. The model developed in this paper can be ap-plied to single-terminal transfer systems with any combination of transportation modes using discrete vehicles, as long as the feeder arrivals do not deviate much from the assumed Poisson distributions. Since its computational time is relatively insensitive to the numbers of vehicles on feeder routes, this model can be used to efficiently optimize intermodal systems with numerous vehicle arrivals.