An Algorithmic Construction of Four-Level Response Surface Designs

Koukouvinos, C; Mylona, K; Simos, DE; Skountzou, A

dc.contributor.author	Koukouvinos, C	en
dc.contributor.author	Mylona, K	en
dc.contributor.author	Simos, DE	en
dc.contributor.author	Skountzou, A	en
dc.date.accessioned	2014-03-01T01:29:49Z
dc.date.available	2014-03-01T01:29:49Z
dc.date.issued	2009	en
dc.identifier.issn	0361-0918	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19356
dc.subject	Efficiency	en
dc.subject	Four-level factors	en
dc.subject	Genetic algorithms	en
dc.subject	Optimization	en
dc.subject	Response surface designs	en
dc.subject	Rotatability	en
dc.subject.classification	Statistics & Probability	en
dc.subject.other	CYCLIC SUPERSATURATED DESIGNS	en
dc.subject.other	GENETIC ALGORITHMS	en
dc.subject.other	FACTORIAL-DESIGNS	en
dc.subject.other	ROTATABILITY	en
dc.subject.other	HYBRID	en
dc.title	An Algorithmic Construction of Four-Level Response Surface Designs	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/03610910903259634	en
heal.identifier.secondary	http://dx.doi.org/10.1080/03610910903259634	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Response surface methodology is widely used for developing, improving, and optimizing processes in various fields. In this article, we present a method for constructing four-level design matrices in order to explore and optimize response surfaces where the predictor variables are each at four equally spaced levels, by utilizing a genetic algorithm. The produced designs achieve both properties of near-rotatability and estimation efficiency.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION	en
dc.identifier.doi	10.1080/03610910903259634	en
dc.identifier.isi	ISI:000270912700009	en
dc.identifier.volume	38	en
dc.identifier.issue	10	en
dc.identifier.spage	2152	en
dc.identifier.epage	2160	en