Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/78283
Citations | ||
Scopus | Web of ScienceĀ® | Altmetric |
---|---|---|
?
|
?
|
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sanchez, P. | - |
dc.contributor.author | Glonek, G. | - |
dc.contributor.author | Metcalfe, A. | - |
dc.date.issued | 2012 | - |
dc.identifier.citation | Foundations of Computing and Decision Sciences, 2012; 37(3):199-221 | - |
dc.identifier.issn | 0867-6356 | - |
dc.identifier.issn | 2300-3405 | - |
dc.identifier.uri | http://hdl.handle.net/2440/78283 | - |
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.statementofresponsibility | Penny Sanchez, Gary Glonek, Andrew Metcalfe | - |
dc.language.iso | en | - |
dc.publisher | Wydawnictwo Politechniki Poznanskiej | - |
dc.rights | Copyright status unknown | - |
dc.source.uri | http://dx.doi.org/10.2478/v10209-011-0011-z | - |
dc.subject | Combinatorial optimisation | - |
dc.subject | Metaheuristics | - |
dc.subject | Pareto simulated annealing | - |
dc.subject | Experimental design | - |
dc.subject | Gene expression study | - |
dc.title | Pareto simulated annealing for the design of experiments: Illustrated by a gene expression study | - |
dc.type | Journal article | - |
dc.identifier.doi | 10.2478/v10209-011-0011-z | - |
pubs.publication-status | Published | - |
dc.identifier.orcid | Metcalfe, A. [0000-0002-7680-3577] | - |
Appears in Collections: | Aurora harvest 4 Environment Institute publications Mathematical Sciences publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.