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https://hdl.handle.net/2440/80911
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dc.contributor.author | Simpson, A. | - |
dc.contributor.author | Priest, S. | - |
dc.date.issued | 1993 | - |
dc.identifier.citation | Computers and Geotechnics, 1993; 15(1):1-19 | - |
dc.identifier.issn | 0266-352X | - |
dc.identifier.uri | http://hdl.handle.net/2440/80911 | - |
dc.description.abstract | The 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.statementofresponsibility | Angus R. Simpson and Stephen D. Priest | - |
dc.language.iso | en | - |
dc.publisher | Elsevier | - |
dc.rights | © 1993 Elsevier Science Publishers | - |
dc.source.uri | http://dx.doi.org/10.1016/0266-352x(93)90014-x | - |
dc.title | The application of genetic algorithms to optimisation problems in geotechnics | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.1016/0266-352X(93)90014-X | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Simpson, A. [0000-0003-1633-0111] | - |
Appears in Collections: | Aurora harvest Civil and Environmental Engineering publications |
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