Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4642005 | Journal of Computational and Applied Mathematics | 2009 | 7 Pages |
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
L. Dumas, B. Druez, N. Lecerf,