Robust Multi-Scenario Optimization of an Air Expeditionary Force Structure Applying Scatter Search to the Combat Forces Assessment Model

Modern Times\u27 bring change in all areas of life. Even the rate of change has changed, and is still changing to increase it\u27s enormous speed even more. Newer and more challenging questions face the military analysts everyday putting a question mark at the end of their last answer. Recently, the question of how to structure a robust air force to meet the requirements of competing, uncertain future scenarios has been keeping them busy. The new world order does not tolerate only being able to respond to a single scenario anymore, which once was considered a hard problem. Who knows what comes next? In this thesis, we propose a robust optimization methodology to provide an answer to the multi-scenario optimization problem. The methodology employs a meta-heuristic, Scatter Search, to guide the search of the multi-scenario solution space obtained by the evaluations of CFAM, the model currently used to respond to single theater scenario objectives. A Visual Basi