Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics-Reference-Cited by-同舟云学术

Hybridization of a multi-objective genetic algorithm, a neural network and a classical optimizer for a complex design problem in fluid dynamics

Published:2000-06 Issue:2-4 Volume:186 Page:403-420
ISSN:0045-7825
Container-title:Computer Methods in Applied Mechanics and Engineering
language:en
Short-container-title:Computer Methods in Applied Mechanics and Engineering

Author:

Poloni Carlo,Giurgevich Andrea,Onesti Luka,Pediroda Valentino

Publisher

Elsevier BV

Subject

Computer Science Applications,General Physics and Astronomy,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Reference25 articles.

1. P. Hajela, Genetic search strategies in multicriterion optimal design, in: Structural Optimization, vol. 4, Springer, Berlin, 1992, pp. 99–107

2. A. Belegundu et al., Multiobjective optimization of laminated ceramic composites using genetic algorithms, AIAA paper 94-4363-CP 1994

3. Three-Dimensional Aerodynamic Optimization with Genetic Algorithm, Computational Fluid Dynamics;Obayashi,1996

4. A. Rocchetto, C. Poloni, A hybrid numerical optimization technique based on genetic and feasible direction algorithms for multi point helicopter rotor blade design, XXI European Rotorcraft Forum, S. Petersburg, Russia, September 1995

5. E. Michielssen, D.S. Weile, Electromagnetic system design using genetic algorithms, in: Genetic Algorithms in Engineering and Computer Science, Wiley, Chichester, UK, 1995, pp. 345–369

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