Multi-Objective Optimisation under Uncertainty with Unscented Temporal Finite Elements

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 a range of mission trade-offs, and the impact of uncertainties on the evaluation of launch system mission designs. A memetic multi-objective optimisation algorithm, named MODHOC, which combines t...

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Bibliographic Details
Main Authors: Lorenzo A. Ricciardi, Christie Alisa Maddock, Massimiliano Vasile
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Mathematics
Subjects:
optimal control
multi-objective optimisation
robust design
trajectory optimisation
uncertainty quantification
unscented transformation
Online Access:https://www.mdpi.com/2227-7390/9/23/3010

Internet

https://www.mdpi.com/2227-7390/9/23/3010

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