Automated control of an actively compensated Langmuir probe system using simulated annealing

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dc.contributor.author Hopgood, Adrian A. en
dc.contributor.author Braithwaite, Nicholas (Nicholas St. J.) en
dc.contributor.author Goodyear, A. en
dc.contributor.author Nolle, L. en
dc.contributor.author Picton, P. D.
dc.date.accessioned 2008-11-24T13:24:12Z
dc.date.available 2008-11-24T13:24:12Z
dc.date.issued 2002-07-01 en
dc.identifier.citation Nolle, 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.issn 0950-7051 en
dc.identifier.uri http://hdl.handle.net/2086/177
dc.description This 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.iso en en
dc.publisher Elsevier en
dc.subject RAE 2008
dc.subject UoA 23 Computer Science and Informatics
dc.subject Simulated annealing
dc.subject Optimisation
dc.subject Langmuir probe system
dc.title Automated control of an actively compensated Langmuir probe system using simulated annealing en
dc.type Article en
dc.identifier.doi http://dx.doi.org/10.1016/S0950-7051(01)00171-X en
dc.researchgroup Centre for Computational Intelligence


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