Using response surface approximations in fuzzy set based design optimization-Reference-Cited by-同舟云学术

Using response surface approximations in fuzzy set based design optimization

Published:1999-12 Issue:4 Volume:18 Page:218-227
ISSN:0934-4373
Container-title:Structural Optimization
language:en
Short-container-title:Structural Optimization

Author:

Venter G.,Haftka R. T.

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,General Engineering

Link

http://link.springer.com/content/pdf/10.1007/BF01223303.pdf

Reference18 articles.

1. Ben-Haim, Y.; Elishakoff, E. 1990:Convex models of uncertainty in applied mechanics. Amsterdam: Elsevier

2. Dong, W.; Shah, H.C. 1987: Vertex Method for Computing Functions of Fuzzy Variables.Fuzzy Sets and Systems 24, 65–78

3. Dubois, D.; Prade, H. 1988:Possibility theory: An approach to computerized processing of uncertainty. New York: Plenum Press

4. Giunta, A.A.; Dudley, J.M.; Narducci, R.; Grossman, B.; Haftka, R.T.; Mason, W.H.; Watson, L.T. 1994: Noisy aerodynamic response and smooth approximations in HSCT design.Proc. 5-th AIAA/USAF/NASA/ISSMO Symp. on Multidisciplinary and Structural Optimization (held in Panama City, FL), pp. 1117–1128

5. Jensen, H.A.; Sepulveda, A.E. 1997: Fuzzy optimization of complex systems using approximation concepts.Proc. 5-th PACAM (held in San Juan, Puerto Rico) Vol. 5, pp. 345–348

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