E (s2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Koukouvinos, C en
dc.contributor.author Mylona, K en
dc.contributor.author Simos, DE en
dc.date.accessioned 2014-03-01T01:28:11Z
dc.date.available 2014-03-01T01:28:11Z
dc.date.issued 2008 en
dc.identifier.issn 0378-3758 en
dc.identifier.uri http://hdl.handle.net/123456789/18753
dc.subject Cyclic generator en
dc.subject E (s2)-optimality en
dc.subject Factorial designs en
dc.subject Metaheuristics en
dc.subject Minimax-optimality en
dc.subject Multi-objective optimization en
dc.subject Simulated annealing en
dc.subject Supersaturated designs en
dc.subject.classification Statistics & Probability en
dc.subject.other CONSTRUCTION en
dc.subject.other ALGORITHMS en
dc.title E (s2)-optimal and minimax-optimal cyclic supersaturated designs via multi-objective simulated annealing en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.jspi.2007.05.044 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.jspi.2007.05.044 en
heal.language English en
heal.publicationDate 2008 en
heal.abstract In this paper, we are interested in finding E(s(2))-optimal and minimax-optimal, two level cyclic structured supersaturated designs through a metaheuristic approach guided via multi-objective simulated annealing (SA). Our construction method is based on cyclic generators. This class of metaheuristics enabled us to build supersaturated designs for q = 2, 4,..., 14 generators. Comparisons are made with previous works and it is shown that SA gives promising results for supersaturated designs that satisfy more than one optimality property. Furthermore, we provide some lower bounds and explicit formulas for the frequency of the elements with maximum absolute values that appear in the information matrix, when these values are 2, 4 or 6. (c) 2007 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Journal of Statistical Planning and Inference en
dc.identifier.doi 10.1016/j.jspi.2007.05.044 en
dc.identifier.isi ISI:000254814200010 en
dc.identifier.volume 138 en
dc.identifier.issue 6 en
dc.identifier.spage 1639 en
dc.identifier.epage 1646 en

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record