Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics
- 1 June 2000
- journal article
- Published by Elsevier in Computer Methods in Applied Mechanics and Engineering
- Vol. 186 (2-4) , 403-420
- https://doi.org/10.1016/s0045-7825(99)00394-1
Abstract
No abstract availableThis publication has 6 references indexed in Scilit:
- Emergent Computing Methods in Engineering DesignPublished by Springer Nature ,1996
- New evolutionary direction operator for genetic algorithmsAIAA Journal, 1995
- Multi-objective optimization of laminated ceramic composites using genetic algorithmsPublished by American Institute of Aeronautics and Astronautics (AIAA) ,1994
- Automatic differentiation of advanced CFD codes for multidisciplinary designComputing Systems in Engineering, 1992
- Genetic search strategies in multicriterion optimal designStructural and Multidisciplinary Optimization, 1992
- Algorithm 647: Implementation and Relative Efficiency of Quasirandom Sequence GeneratorsACM Transactions on Mathematical Software, 1986