Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/80911
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dc.contributor.authorSimpson, A.-
dc.contributor.authorPriest, S.-
dc.date.issued1993-
dc.identifier.citationComputers and Geotechnics, 1993; 15(1):1-19-
dc.identifier.issn0266-352X-
dc.identifier.urihttp://hdl.handle.net/2440/80911-
dc.description.abstractThe paper presents an introduction to a relatively new optimisation technique, known as genetic algorithms, and discusses its potential for application to geotechnical problems. The method of genetic algorithms is a search technique based on the mechanics of natural selection and natural genetics implemented by coding each state of a particular optimisation problem as a string of binary digits. The objective function provides a measure of the 'fitness' of each state. Further generations of the binary string are created by a process of reproduction, crossover and mutation that favours the survival of the fitter strings. An optimal, or near optimal solution is identified after a relatively small number of generations that represent only a small fraction of the complete set of possible enumerations. After a brief explanation of the principal elements of genetic algorithms the paper outlines the background theory to the identification of discontinuity frequency extrema in fractured rock masses - an optimisation problem that is computationally demanding. The technique is then implemented through a case example involving a rock structure containing up to 100 discontinuities, each one treated as a set. It is shown that genetic algorithms provide an efficient and computationally powerful optimisation technique.-
dc.description.statementofresponsibilityAngus R. Simpson and Stephen D. Priest-
dc.language.isoen-
dc.publisherElsevier-
dc.rights© 1993 Elsevier Science Publishers-
dc.source.urihttp://dx.doi.org/10.1016/0266-352x(93)90014-x-
dc.titleThe application of genetic algorithms to optimisation problems in geotechnics-
dc.typeJournal article-
dc.identifier.doi10.1016/0266-352X(93)90014-X-
pubs.publication-statusPublished-
dc.identifier.orcidSimpson, A. [0000-0003-1633-0111]-
Appears in Collections:Aurora harvest
Civil and Environmental Engineering publications

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