Theory and application of empowering multidisciplinary design optimisation in aero-engines by intelligent optimisation algorithms: a survey

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In this paper, a comprehensive survey on intelligent optimisation algorithms in aero-engine multidisciplinary design optimisation (MDO) is presented, where both theory and application are introduced in details. Firstly, the popular intelligent optimisation algorithms are systematically reviewed based on the work mechanisms, and a thorough examination on the implementation in aero-engine MDO is presented with in-depth discussions. Secondly, a three-level categorisation of basic algorithms, strategy combinations, and surrogate integration is proposed, which analyzes the feasibility of applying different methods in diverse scenes. Lastly, a farsighted outlook on the promising future research directions of designing more powerful intelligent optimisation algorithms to better facilitate the effective MDO of aero-engines is provided, which benefits bridging the gap between theoretical algorithm innovations and realistic engineering demands. This survey not only clarifies algorithms applicability in intelligent computation domains, but also offers application guidelines in MDO tasks of aero-engines, thereby promoting more cross-disciplinary collaborations and research.