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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 34
DEVELOPMENTS IN NEURAL NETWORKS AND EVOLUTIONARY COMPUTING FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping
Paper VII.4
Adaptive Search to Assist in the Conceptual Design of Concrete Buildings J. Mathews and M.Y. Rafiq
School of Civil and Structural Engineering, University of Plymouth, Plymouth, UK J. Mathews, M.Y. Rafiq, "Adaptive Search to Assist in the Conceptual Design of Concrete Buildings", in B.H.V. Topping, (Editor), "Developments in Neural Networks and Evolutionary Computing for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 179-187, 1995. doi:10.4203/ccp.34.7.4
Abstract
This paper describes a continuing investigation of Genetic
Algorithms (GA) in the development of a decision-support
system for conceptual structural building design.
Background to building design is presented. GAs are
applied to the initial design processes for structural grid
planning and floor type selection. The problem
representation, results and implications are presented.
Issues relevant to the application of such a tool in an
engineering environment for promoting integrated design
are discussed together with the direction of future work.
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