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ASME Press Select Proceedings
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Editor
ISBN-10:
0791802823
ISBN:
9780791802823
No. of Pages:
700
Publisher:
ASME Press
Publication date:
2008
eBook Chapter
42 GA-Based Method for Optimal Cross Section Design of Lunette Eye
By
Takao Yokota
,
Takao Yokota
Department of Systems and Information Engineering
Ashikaga Institute of Technology
, Ashikaga 326-8558
; [email protected]
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Shozo Wada
,
Shozo Wada
Department of Architecture
Ashikaga Institute of Technology
, Ashikaga 326-8558
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Takeaki Taguchi
Takeaki Taguchi
Department of Systems and Information Engineering
Ashikaga Institute of Technology
, Ashikaga 326-8558
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Page Count:
8
-
Published:2008
Citation
Yokota, T, Wada, S, & Taguchi, T. "GA-Based Method for Optimal Cross Section Design of Lunette Eye." Intelligent Engineering Systems through Artificial Neural Networks Volume 18. Ed. Dagli, CH. ASME Press, 2008.
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In this paper, we formulate an optimal cross section design (OCD) problem of lunette eye of full trailer for a constrained allowable normal stress with section modulus as a nonlinear integer programming (NIP) problem and solve it directly by keeping the constraints based on an improved genetic algorithm (GA). We discuss the efficency between the proposed method and the traditional method.
Topics:
Design
Abstract
1 Introduction
2 Requirements for lunette eye's design of full trailer
3 An Optimal Cross section Design Problem of the Lunette Eye
4 Representation and Evaluation Function
5 Algorithm
6 Numerical Example
7 Evaluation
8 Conclusion
References
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