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Exploring k-circulant supersaturated designs via genetic algorithms

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dc.contributor.author Koukouvinos, C en
dc.contributor.author Mylona, K en
dc.contributor.author Simos, DE en
dc.date.accessioned 2014-03-01T01:26:20Z
dc.date.available 2014-03-01T01:26:20Z
dc.date.issued 2007 en
dc.identifier.issn 0167-9473 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/18021
dc.subject Cyclic generator en
dc.subject E (s2)-optimality en
dc.subject Factorial designs en
dc.subject Genetic algorithms en
dc.subject.classification Computer Science, Interdisciplinary Applications en
dc.subject.classification Statistics & Probability en
dc.subject.other Optimization en
dc.subject.other Statistical methods en
dc.subject.other Cyclic generator en
dc.subject.other Factorial designs en
dc.subject.other Supersaturated designs en
dc.subject.other Genetic algorithms en
dc.title Exploring k-circulant supersaturated designs via genetic algorithms en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.csda.2006.11.042 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.csda.2006.11.042 en
heal.language English en
heal.publicationDate 2007 en
heal.abstract E(s(2))-optimal or near optimal, two level k-circulant supersaturated designs are explored by means of genetic algorithms. All known k-circulant classes for k = 2,..., 6 have been rebuilt and improved. The successful application of genetic algorithms is further illustrated by the construction of several k-circulant supersaturated designs for k = 7, 8. (c) 2006 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Computational Statistics and Data Analysis en
dc.identifier.doi 10.1016/j.csda.2006.11.042 en
dc.identifier.isi ISI:000244630500016 en
dc.identifier.volume 51 en
dc.identifier.issue 6 en
dc.identifier.spage 2958 en
dc.identifier.epage 2968 en


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