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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 37
INFORMATION PROCESSING IN CIVIL AND STRUCTURAL ENGINEERING DESIGN Edited by: B. Kumar
Paper VI.4
Constraint-based Genetic Algorithm Optimization Applied to Reinforced Concrete Design W.K. Lucas and W.M.K. Roddis
Civil and Environmental Engineering Department, University of Kansas, Lawrence, United States of America W.K. Lucas, W.M.K. Roddis, "Constraint-based Genetic Algorithm Optimization Applied to Reinforced Concrete Design", in B. Kumar, (Editor), "Information Processing in Civil and Structural Engineering Design", Civil-Comp Press, Edinburgh, UK, pp 171-175, 1996. doi:10.4203/ccp.37.6.4
Abstract
The preliminary specification of a constraint-based design
system for structural concrete that uses a genetic algorithm
for search is presented. Example constraints are given for a
singly reinforced rectangular concrete beam cross-section.
Concrete design and detailing requirements can be
conveniently represented in the context of constraint-based
reasoning. Coupling functional constraints with a genetic
algorithm is found to be a promising approach to deal with
the combinatorial difficulties and potential for over constraint
encountered in actual structural concrete design problems.
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