Inexact information aided, low-cost, distributed genetic algorithms for aerodynamic shape optimization-Reference-Cited by-同舟云学术

Inexact information aided, low-cost, distributed genetic algorithms for aerodynamic shape optimization

Published:2003 Issue:10-11 Volume:43 Page:1149-1166
ISSN:0271-2091
Container-title:International Journal for Numerical Methods in Fluids
language:en
Short-container-title:Int. J. Numer. Meth. Fluids

Author:

Karakasis Marios K.,Giotis Alexios P.,Giannakoglou Kyriakos C.

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/fld.575/fullpdf

Reference15 articles.

1. Genetic Algorithms in Search, Optimization & Machine Learning. Addison-Wesley: Reading, MA, 1989.

2. Genetic Algorithm + Data Structure = Evolution Programs (2nd edn). Springer-Verlag: Berlin, 1994.

3. Single- and multi-objective airfoil design using genetic algorithms and artificial intelligence. In EUROGEN 99, Evolutionary Algorithms in Engineering and Computer Science, et al. (eds). Wiley: Finland, 1999.

4. A reduced cost multiobjective optimization method based on the pareto front technique, neural networks and PVM. In ECCOMAS 2000, Barcelona, September 2000.

5. Acceleration of Genetic Algorithms using Artificial Neural Networks?Theoretical Background. Von-Karman Institute LS 2000-07, May 2000.

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