Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1237
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dc.contributorDepartment of Civil and Environmental Engineering-
dc.creatorChau, KW-
dc.creatorAlbermani, F-
dc.date.accessioned2014-12-11T08:27:33Z-
dc.date.available2014-12-11T08:27:33Z-
dc.identifier.isbn978-3-540-43781-9-
dc.identifier.urihttp://hdl.handle.net/10397/1237-
dc.descriptionSeries: Lecture notes in computer scienceen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofseriesLecture notes in artificial intelligence ; v. 2358-
dc.rights© Springer-Verlag Berlin Heidelberg 2002. The original publication is available at http://www.springerlink.com.en_US
dc.subjectGenetic algorithmen_US
dc.subjectLiquidsen_US
dc.subjectStructural designen_US
dc.titleGenetic algorithms for design of liquid retaining structureen_US
dc.typeBook Chapteren_US
dc.description.otherinformationAuthor name used in this publication: K. W. Chauen_US
dc.identifier.doi10.1007/3-540-48035-8_12-
dcterms.abstractIn this paper, genetic algorithm (GA) is applied to the optimum design of reinforced concrete liquid retaining structures, which comprise three discrete design variables, including slab thickness, reinforcement diameter and reinforcement spacing. GA, being a search technique based on the mechanics of natural genetics, couples a Darwinian survival-of-the-fittest principle with a random yet structured information exchange amongst a population of artificial chromosomes. As a first step, a penalty-based strategy is entailed to transform the constrained design problem into an unconstrained problem, which is appropriate for GA application. A numerical example is then used to demonstrate strength and capability of the GA in this domain problem. It is shown that, only after the exploration of a minute portion of the search space, near-optimal solutions are obtained at an extremely converging speed. The method can be extended to application of even more complex optimization problems in other domains.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIn T Hendtlas & M Ali (Eds.), Developments in applied artificial intelligence : 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 2002 : proceedings, p. 119-128. Berlin ; New York: Springer, 2002-
dcterms.issued2002-
dc.identifier.isiWOS:000180978400013-
dc.relation.ispartofbookDevelopments in applied artificial intelligence : 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2002, Cairns, Australia, June 2002 : proceedings-
dc.relation.conferenceInternational Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems [IEA/AIE]-
dc.publisher.placeBerlin ; New Yorken_US
dc.identifier.rosgroupidr08513-
dc.description.ros2001-2002 > Academic research: refereed > Publication in refereed journal-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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