Multi-Objective Optimisation under Uncertainty with Unscented Temporal Finite Elements

This paper presents a novel method for multi-objective optimisation under uncertainty developed to study range of mission trade-offs, and the impact uncertainties on evaluation launch system designs. A memetic algorithm, named MODHOC, which combines Direct Finite Elements in Time transcription with Multi Agent Collaborative Search, is extended account model uncertainties. An Unscented Transformation used capture first two statistical moments quantities interest. quantification was atmospheric parameters. run design descent trajectories spaceplane-based two-stage system.