developing a multi-objective multi-disciplinary robust design optimization framework

This study aims to provide an efficient multi-objective multidisciplinary robust design optimization (momrdo) framework. to this end, bi-level integrated system synthesis (bliss) framework was implemented as a fast multi-disciplinary design optimization (mdo) framework. progressive latin hypercube sampling (plhs) was developed as a design of experiment (doe) for the uncertainty analysis (ua). this systematic approach leads to a fast, adaptive, and efficient robust design optimization (rdo) framework of complex systems. the accuracy and performance of the proposed algorithm have been evaluated through various tests. finally, the rdo of a hydrazine monopropellant thruster was selected as a case study. the results showed that this method is a fast and effective method for the multi-objective optimization design of complex systems, and it can also be used in other engineering applications.