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dc.contributor.authorHopgood, Adrian A.en
dc.contributor.authorBraithwaite, Nicholas (Nicholas St. J.)en
dc.contributor.authorGoodyear, A.en
dc.contributor.authorNolle, L.en
dc.contributor.authorPicton, P. D.
dc.date.accessioned2008-11-24T13:24:12Z
dc.date.available2008-11-24T13:24:12Z
dc.date.issued2002-07-01en
dc.identifier.citationNolle, L. et al. (2002) Automated control of an actively compensated Langmuir probe system using simulated annealing. Knowledge-Based Systems, 15(5-6), pp. 349-354.
dc.identifier.issn0950-7051en
dc.identifier.urihttp://hdl.handle.net/2086/177
dc.descriptionThis work was part of EPSRC project GR/M71039/01, Automated Optimisation and Control of Low Temperature Plasma Processes, whose research quality was rated internationally leading. Hopgood was Principal Investigator. A Langmuir probe requires 14 heavily interacting continuous parameters to be tuned. A novel simulated annealing method was shown to find better solutions quicker and more reliably than skilled human operators. The paper won a Recognised Paper award at ES-2001 (now known as AI-200x) and was invited for publication in a special issue of KBS journal. A demonstration of the system won the first British Computer Society Machine Intelligence Award in 2002.en
dc.language.isoenen
dc.publisherElsevieren
dc.subjectRAE 2008
dc.subjectUoA 23 Computer Science and Informatics
dc.subjectSimulated annealing
dc.subjectOptimisation
dc.subjectLangmuir probe system
dc.titleAutomated control of an actively compensated Langmuir probe system using simulated annealingen
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1016/S0950-7051(01)00171-Xen
dc.researchgroupCentre for Computational Intelligence


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