Optimizing the stochastic fleet estimation model using evolutionary computation

We introduce an evolutionary computation framework using genetic algorithms to optimize the Stochastic Fleet Estimation (SaFE) model. SaFE ias a Monte Carlo-based model which generates a vehicle fleet based on the set of requirements that the fleet is supposed to accomplish. a genetic algorithm framework is used in order to alternate solutions between different plausible sets of platforms. We use SaFE coupled with a simple cost evaluation based on the output of SaFE as the genetic algorithm´s cost function. Results showing a decrease in fleet cost are shown and analyzed.