System-of-Systems Operational Analysis and Optimization
This paper describes an operational analysis and optimization of a quad-copters fleet, designed for real-time package delivery. The fleet and its mission serve as a benchmark problem, nicknamed Rafazon, of a complex system-of-systems (SoS). First, a computational model was established using agent-based discrete-event-simulation (AB-DES). Next, the simulation was integrated into a multi-objective-optimization framework, in order to efficiently find the optimal fleet composition, which maximizes system efficiency, while minimizing overall cost. Finally, the optimization results are presented as a set of pareto optimal system designs, which reveals the SoS design trade-offs.