Pareto simulated annealing for the design of experiments: Illustrated by a gene expression study

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dc.contributor.authorSanchez, P.
dc.contributor.authorGlonek, G.
dc.contributor.authorMetcalfe, A.
dc.date.issued2012
dc.description.abstract<jats:title>Abstract</jats:title><jats:p> Experimental design is concerned with the problem of allocating resources within an experiment to ensure that objectives of the experiment are achieved at the minimum cost. This paper focuses on the generation of optimal or near-optimal designs for large and complex experiments where it is infeasible to carry out an ex- haustive search of the design space. Optimal designs for gene expression studies, aimed at investigating the behaviour of genes, are considered, where the optimality criterion employed is Pareto optimality. We develop an adaptation of the metaheuris- tic method of Pareto simulated annealing to generate an approximation to the set of Pareto optimal designs for large and complex experiments. We develop algorithms that utilise response surface methodology to search systematically for the optimal values of parameters associated with Pareto simulated annealing and performance is evaluated using quality measures.</jats:p>
dc.description.statementofresponsibilityPenny Sanchez, Gary Glonek, Andrew Metcalfe
dc.identifier.citationFoundations of Computing and Decision Sciences, 2012; 37(3):199-221
dc.identifier.doi10.2478/v10209-011-0011-z
dc.identifier.issn0867-6356
dc.identifier.issn2300-3405
dc.identifier.orcidMetcalfe, A. [0000-0002-7680-3577]
dc.identifier.urihttp://hdl.handle.net/2440/78283
dc.language.isoen
dc.publisherWydawnictwo Politechniki Poznanskiej
dc.rightsCopyright status unknown
dc.source.urihttps://doi.org/10.2478/v10209-011-0011-z
dc.subjectCombinatorial optimisation
dc.subjectMetaheuristics
dc.subjectPareto simulated annealing
dc.subjectExperimental design
dc.subjectGene expression study
dc.titlePareto simulated annealing for the design of experiments: Illustrated by a gene expression study
dc.typeJournal article
pubs.publication-statusPublished

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