This study demonstrates advances in multiobjective optimization, supporting a robustness study of a simplified jet engine structural model. The ultimate goal is to find the best structural configuration of shell thicknesses along the engine that will result in reduced reaction force variation under a range of external loads, will be as light as possible and where fuel consumption will be minimal. These are competitive objectives, some of which are of stochastic rather than deterministic in nature. The paper demonstrates that a deep level multiobjective search pays off many times the investment in time and money by providing significant design improvement.
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