Computing a Multi-location Aircraft Fleet Mix

The Canadian Armed Forces periodically examines aircraft, ship or ground vehicle fleets to determine if they need to reduce, keep the same or increase the number of platforms in their fleets. We adapt previous work on fleet estimation and multi-objective optimization to compute a Pareto-optimal set of fleets at multiple locations, taking into account mission scheduling. We apply our model, which uses a genetic algorithm based on NSGA-II, to a sample of notional scenarios to demonstrate the effectiveness of the approach.