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

Olivieri, Alejandro Cesar et al · Elsevier Science · 2012

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Author / responsible party
Olivieri, Alejandro Cesar et al
Publisher
Elsevier Science
Year
2012
ISSN
0039-9140
ISSN
0039-9140
Language
English

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Screening 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. Fil: 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 Fil: Magallanes, Jorge Federico. Comisión Nacional de Energía Atómica; Argentina

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APA 7

Olivieri, A. C. E. A. (2012). Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach. http://hdl.handle.net/11336/105509

MLA

Olivieri, Alejandro Cesar et al. "Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach." 2012. http://hdl.handle.net/11336/105509.

Chicago

Olivieri, Alejandro Cesar et al. 2012. "Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach.". http://hdl.handle.net/11336/105509.

Harvard

Olivieri, A. C. E. A. 2012, Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach, Elsevier Science, available at: http://hdl.handle.net/11336/105509 [Accessed 10 Aug. 2026].

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Title
Uncovering interactions in Plackett–Burman screening designs applied to analytical systems: A Monte Carlo ant colony optimization approach
Author / contributors
Olivieri, Alejandro Cesar et al
Publisher
Elsevier Science
Publication year
2012
ISSN
0039-9140
ISSN
0039-9140
Language
English

Subjects

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Plackett–Burman designs; Factor associations; Ant colony optimization; https://purl.org/becyt/ford/1.4; https://purl.org/becyt/ford/1
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