Please use this identifier to cite or link to this item: https://doi.org/10.3182/20120710-4-SG-2026.00117
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dc.titleA novel multi-objective optimization based experimental design and its application for physiological model of type 1 diabetes
dc.contributor.authorMaheshwari, V.
dc.contributor.authorRangaiah, G.P.
dc.contributor.authorSamavedham, L.
dc.date.accessioned2014-06-19T06:12:41Z
dc.date.available2014-06-19T06:12:41Z
dc.date.issued2012
dc.identifier.citationMaheshwari, V.,Rangaiah, G.P.,Samavedham, L. (2012). A novel multi-objective optimization based experimental design and its application for physiological model of type 1 diabetes. IFAC Proceedings Volumes (IFAC-PapersOnline) 8 (PART 1) : 638-643. ScholarBank@NUS Repository. <a href="https://doi.org/10.3182/20120710-4-SG-2026.00117" target="_blank">https://doi.org/10.3182/20120710-4-SG-2026.00117</a>
dc.identifier.isbn9783902823052
dc.identifier.issn14746670
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/74458
dc.description.abstractThe design of optimal model based experiments is finding increasing use in various fields including chemical, pharmaceutical, biological engineering, and biomedicine. The traditional Model Based Optimal Experimental Design (MBOED) techniques focus on improving the parameter precision but do not consider the undesired possibility of increasing the correlation among the estimated parameters. In this paper, we propose a multi-objective optimization based experimental design technique, which provides the trade-off curve between information measure and correlation measure in the form of a Pareto-optimal front. This Pareto-optimal front gives the experimenter the freedom to choose appropriate experimental designs for real world system under investigation. The proposed methodology is illustrated using an example involving the identification of physiological models for characterizing Type 1 diabetic patients. © 2012 IFAC.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.3182/20120710-4-SG-2026.00117
dc.sourceScopus
dc.subjectFisher information matrix (FIM)
dc.subjectModified bergman minimal model
dc.subjectMulti-objective optimization
dc.subjectParameter correlation
dc.subjectPareto-optimal front
dc.typeConference Paper
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.3182/20120710-4-SG-2026.00117
dc.description.sourcetitleIFAC Proceedings Volumes (IFAC-PapersOnline)
dc.description.volume8
dc.description.issuePART 1
dc.description.page638-643
dc.identifier.isiutNOT_IN_WOS
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