Analysis of gene expression programming for approximation in engineering design-Reference-Cited by-同舟云学术

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Analysis of gene expression programming for approximation in engineering design

Published:2012-02-28 Issue:3 Volume:46 Page:399-413
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Gao Liang,Xiao Mi,Shao Xinyu,Jiang Ping,Nie Li,Qiu Haobo

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s00158-012-0767-7.pdf

Reference41 articles.

1. Ashour AF, Alvarez LF, Toropov VV (2003) Empirical modelling of shear strength of RC deep beams by genetic programming. Comput Struct 81(5):331–338

2. Avalle M, Chiandussi G, Belingardi G (2002) Design optimization by response surface methodology: application to crashworthiness design of vehicle structures. Struct Multidiscipl Optim 24(4):325–332

3. Branin FH (1972) Widely convergent method for finding multiple solutions of simultaneous nonlinear equations. IBM J Res Develop 16(5):504–522

4. Clarke SM, Griebsch JH, Simpson TW (2005) Analysis of support vector regression for approximation of complex engineering analyses. J Mech Des 127(6):1077–1087

5. Ferreira C (2001) Gene expression programming: a new adaptive algorithm for solving problems. Complex Syst 13(2):87–129

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