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H. Sugimoto*, H. Yamamoto*, T. Sasaki+ and J. Mitsuo+

*Muroran Institute of Technology, Muroran, Japan
+Civil Engineering & Design Department, Tokyu Construction Co, Ltd., Tokyo, Japan

doi:10.4203/ccp.16.6.4

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H. Sugimoto, H. Yamamoto, T. Sasaki, J. Mitsuo, "Application of the Genetic Algorithm to the Multi-Objective Design of Retaining Wall Structures", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 127-136, 1993. doi:10.4203/ccp.16.6.4

Abstract

The design optimization of retaining wall structures is studied using GA. The design variables of this design problem are the vertical positions of the waling beams and the horizontal interval of the cross beams. These are essentially continuous variables, but are treated as discrete variables in this paper. As ready-made steel products are used for the structural members, the construction cost, which is one of the objective functions of this study, is discontinuous with respect to the design variables. The basic requirements for these types of the structures are not only the construct ion cost, but also the structural security and workability. In addition, this method is applicable to the longitudinal changes in geological conditions. So the design problem is formulated as a discrete multi-objective design problem, and the modified GA is applied to the problem. The results of the numerical examples show the utility of the method described in this paper.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 16 NEURAL NETWORKS & COMBINATORIAL OPTIMIZATION IN CIVIL & STRUCTURAL ENGINEERING Edited by: B.H.V. Topping and A.I. Khan Paper VI.4 Application of the Genetic Algorithm to the Multi-Objective Design of Retaining Wall Structures H. Sugimoto, H. Yamamoto, T. Sasaki+ and J. Mitsuo+ *Muroran Institute of Technology, Muroran, Japan +Civil Engineering & Design Department, Tokyu Construction Co, Ltd., Tokyo, Japan doi:10.4203/ccp.16.6.4 purchase the full-text of this paper Full Bibliographic Reference for this paper H. Sugimoto, H. Yamamoto, T. Sasaki, J. Mitsuo, "Application of the Genetic Algorithm to the Multi-Objective Design of Retaining Wall Structures", in B.H.V. Topping, A.I. Khan, (Editors), "Neural Networks & Combinatorial Optimization in Civil & Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 127-136, 1993. doi:10.4203/ccp.16.6.4 Abstract The design optimization of retaining wall structures is studied using GA. The design variables of this design problem are the vertical positions of the waling beams and the horizontal interval of the cross beams. These are essentially continuous variables, but are treated as discrete variables in this paper. As ready-made steel products are used for the structural members, the construction cost, which is one of the objective functions of this study, is discontinuous with respect to the design variables. The basic requirements for these types of the structures are not only the construct ion cost, but also the structural security and workability. In addition, this method is applicable to the longitudinal changes in geological conditions. So the design problem is formulated as a discrete multi-objective design problem, and the modified GA is applied to the problem. The results of the numerical examples show the utility of the method described in this paper. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £34 +P&P)
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