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Intelligent Engineering Systems through Artificial Neural Networks
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009
eBook Chapter
35 GA-Based Method for Optimal Weight Design Problem of the Double Box Culvert
By
Takao Yokota
,
Takao Yokota
Department of Systems and Information Engineering,
Ashikaga Institute of Technology
, Ashikaga 326-8558
, Japan
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Shozo Wada
,
Shozo Wada
Department of Architecture
Ashikaga Institute of Technology
, Ashikaga 326-8558
, Japan
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Takeaki Taguchi
Takeaki Taguchi
Department of Systems and Information Engineering,
Ashikaga Institute of Technology
, Ashikaga 326-8558
, Japan
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Page Count:
8
-
Published:2009
Citation
Yokota, T, Wada, S, & Taguchi, T. "GA-Based Method for Optimal Weight Design Problem of the Double Box Culvert." Intelligent Engineering Systems through Artificial Neural Networks. Ed. Dagli, CH, Bryden, KM, Corns, SM, Gen, M, Tumer, K, & Süer, G. ASME Press, 2009.
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In this paper, we formulate an optimal weight design (OWD) problem of the double box culvert for a constrained allowable shearing stress of the sidewall, top wall and bottom wall by the slope-deflection method and solve it directly by keeping the constraints based on an improved genetic algorithm (GA). We discuss the efficiency between the proposed method and the traditional method.
Abstract
1 Introduction
2 Requirement for the box culvert design.
3 An Optimal Weight Design Problem of the Double Box Culvert
4 Representation and Evaluation Function
5 Algorithm
6 Numerical Example
7 Evaluation
8 Conclusion
References
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