Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach

dc.creatorOlivieri, Alejandro Cesar
dc.creatorMagallanes, Jorge Federico
dc.date2012-08
dc.identifierhttp://hdl.handle.net/11336/105509
dc.identifierOlivieri, Alejandro Cesar; Magallanes, Jorge Federico; Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach; Elsevier Science; Talanta; 97; 8-2012; 242-248
dc.identifier0039-9140
dc.identifierCONICET Digital
dc.identifierCONICET
dc.descriptionScreening of relevant factors using Plackett–Burman designs is usual in analytical chemistry. It relies on the assumption that factor interactions are negligible; however, failure of recognizing such interactions may lead to incorrect results. Factor associations can be revealed by feature selection techniques such as ant colony optimization. This method has been combined with a Monte Carlo approach, developing a new algorithm for assessing both main and interaction terms when analyzing the influence of experimental factors through a Plackett–Burman design of experiments. The results for both simulated and analytically relevant experimental systems show excellent agreement with previous approaches, highlighting the importance of considering potential interactions when conducting a screening search.
dc.descriptionFil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina
dc.descriptionFil: Magallanes, Jorge Federico. Comisión Nacional de Energía Atómica; Argentina
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherElsevier Science
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0039914012003207
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.talanta.2012.04.025
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subjectPlackett–Burman designs
dc.subjectFactor associations
dc.subjectAnt colony optimization
dc.subjecthttps://purl.org/becyt/ford/1.4
dc.subjecthttps://purl.org/becyt/ford/1
dc.titleUncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución