A fully adaptive hybrid optimization of aircraft engine blades

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摘要

A new fully adaptive hybrid optimization method (AHM) has been developed and applied to an industrial problem in the field of the aircraft engine industry. The adaptivity of the coupling between a global search by a population-based method (Genetic Algorithms or Evolution Strategies) and the local search by a descent method has been particularly emphasized. On various analytical test cases, the AHM method overperforms the original global search method in terms of computational time and accuracy. The results obtained on the industrial case have also confirmed the interest of AHM for the design of new and original solutions in an affordable time.

论文关键词:Optimization,Genetic algorithms,Hybrid methods,Aeronautical applications

论文评审过程:Received 16 April 2007, Revised 26 June 2008, Available online 29 October 2008.

论文官网地址:https://doi.org/10.1016/j.cam.2008.10.041