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A fully adaptive hybrid optimization of aircraft engine blades
Authors:L. Dumas  B. Druez
Affiliation:a Laboratoire Jacques-Louis Lions, Université Pierre et Marie Curie, 75252 Paris Cedex 05, France
b Snecma moteurs (groupe Safran), site Villaroche, France
Abstract: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.
Keywords:Optimization   Genetic algorithms   Hybrid methods   Aeronautical applications
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