fSDE: efficient evolutionary optimisation for many-objective aero-engine calibration

Engine calibration aims at simultaneously adjusting a set of parameters to ensure the performance of an engine under various working conditions using an engine simulator. Due to the large number of engine parameters to be calibrated, the performance measurements to be considered, and the working con...

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Vydané v:Complex & intelligent systems Ročník 8; číslo 4; s. 2731 - 2747
Hlavní autori: Liu, Jialin, Zhang, Qingquan, Pei, Jiyuan, Tong, Hao, Feng, Xudong, Wu, Feng
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Cham Springer International Publishing 01.08.2022
Springer Nature B.V
Predmet:
Aerospace engines
Algorithms
Calibration
Complexity
Computational Intelligence
Data Structures and Information Theory
Engineering
Evolutionary algorithms
Mathematical models
Multiple objective analysis
Optimization
Original Article
Parameters
Working conditions
Constrained optimisation
Engine calibration
Evolutionary algorithm
Many-objective optimisation
Multi-objective optimisation
ISSN:2199-4536, 2198-6053
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Shrnutí:Engine calibration aims at simultaneously adjusting a set of parameters to ensure the performance of an engine under various working conditions using an engine simulator. Due to the large number of engine parameters to be calibrated, the performance measurements to be considered, and the working conditions to be tested, the calibration process is very time-consuming and relies on the human knowledge. In this paper, we consider non-convex constrained search space and model a real aero-engine calibration problem as a many-objective optimisation problem. A fast many-objective evolutionary optimisation algorithm with shift-based density estimation, called fSDE, is designed to search for parameters with an acceptable performance accuracy and improve the calibration efficiency. Our approach is compared to several state-of-the-art many- and multi-objective optimisation algorithms on the well-known many-objective optimisation benchmark test suite and a real aero-engine calibration problem, and achieves superior performance. To further validate our approach, the studied aero-engine calibration is also modelled as a single-objective optimisation problem and optimised by some classic and state-of-the-art evolutionary algorithms, compared to which fSDE not only provides more diverse solutions but also finds solutions of high-quality faster.
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ISSN:2199-4536
2198-6053
DOI:10.1007/s40747-021-00374-1