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Vibrational genetic algorithm enhanced with fuzzy logic and neural networks

  • Published:2010-01 Issue:1 Volume:14 Page:56-64
  • ISSN:1270-9638
  • Container-title:Aerospace Science and Technology
  • language:en
  • Short-container-title:Aerospace Science and Technology

Author:

Pehlivanoglu Y. Volkan,Baysal Oktay

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference13 articles.

1. Fundamentals of Aerodynamics;Anderson,1984

2. Aerodynamic inverse design using fuzzy logic;Dambrosio;Inverse Problems in Science and Engineering,2008

3. Mijn mutation operator for airfoil design optimization;De Falco,1998

4. A new mutation operator for real coded genetic algorithms;Deep;Applied Mathematics Computation,2007

5. Real Coded Genetic Algorithms and Interval Schemata, Foundations of Genetic Algorithms, vol. 2;Eshelman,1993

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1. Improved particle swarm optimization method directed by indirect surrogate modeling;Journal of Aeronautics and Space Technologies (Havacilik ve Uzay Teknolojileri Dergisi);2015-01

2. Direct and indirect design prediction in genetic algorithm for inverse design problems;Applied Soft Computing;2014-11

3. Aircraft design cycle time reduction using artificial intelligence;Aerospace Science and Technology;2013-04

4. Improved Particle Swarm Optimization Method in Inverse Design Problems;Advances in Computational Intelligence;2013

5. Aerodynamic design prediction using surrogate-based modeling in genetic algorithm architecture;Aerospace Science and Technology;2012-12
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