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M.L. Maher and A.G. de Silva Garza

Key Centre of Design Computing, Department of Architectural and Design Science, University of Sydney, Sydney, Australia

doi:10.4203/ccp.37.8.1

M.L. Maher, A.G. de Silva Garza, "The Adaptation of Structural System Designs using Genetic Algorithms", in B. Kumar, (Editor), "Information Processing in Civil and Structural Engineering Design", Civil-Comp Press, Edinburgh, UK, pp 189-196, 1996. doi:10.4203/ccp.37.8.1

Abstract

The case-based reasoning paradigm has been widely used to provide computer support for recalling and adapting known designs to novel design situations. Case-based reasoning adaptation algorithms generally rely on domain knowledge and heuristics in order to change past designs to solve new problems. Unfortunately, the amount of domain-specific knowledge and domain- and task-specific heuristics needed for such case adaptation is usually quite large. In contrast, in our current work we are exploring the use of a general-purpose, knowledge-lean method based on genetic algorithms for the subtask of case adaptation. We are developing the methodology for the conceptual structural design of tall buildings.

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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: 37 INFORMATION PROCESSING IN CIVIL AND STRUCTURAL ENGINEERING DESIGN Edited by: B. Kumar Paper VIII.1 The Adaptation of Structural System Designs using Genetic Algorithms M.L. Maher and A.G. de Silva Garza Key Centre of Design Computing, Department of Architectural and Design Science, University of Sydney, Sydney, Australia doi:10.4203/ccp.37.8.1 purchase the full-text of this paper Full Bibliographic Reference for this paper M.L. Maher, A.G. de Silva Garza, "The Adaptation of Structural System Designs using Genetic Algorithms", in B. Kumar, (Editor), "Information Processing in Civil and Structural Engineering Design", Civil-Comp Press, Edinburgh, UK, pp 189-196, 1996. doi:10.4203/ccp.37.8.1 Abstract The case-based reasoning paradigm has been widely used to provide computer support for recalling and adapting known designs to novel design situations. Case-based reasoning adaptation algorithms generally rely on domain knowledge and heuristics in order to change past designs to solve new problems. Unfortunately, the amount of domain-specific knowledge and domain- and task-specific heuristics needed for such case adaptation is usually quite large. In contrast, in our current work we are exploring the use of a general-purpose, knowledge-lean method based on genetic algorithms for the subtask of case adaptation. We are developing the methodology for the conceptual structural design of tall buildings. 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 £75 +P&P)
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