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Global optimization driven by genetic algorithms for disruption predictors based on APODIS architecture
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
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Number of Authors: 11102016 (English)In: Fusion engineering and design, ISSN 0920-3796, E-ISSN 1873-7196, Vol. 112, p. 1014-1018Article in journal (Refereed) Published
Abstract [en]

Since year 2010, the APODIS architecture has proven its accuracy predicting disruptions in JET tokamak. Nevertheless, it has shown margins for improvements, fact indisputable after the enhanced performances achieved in posterior upgrades. In this article, a complete optimization driven by Genetic Algorithms (GA) is applied to it aiming at considering all possible combination of signals, signal features, quantity of models, their characteristics and internal parameters. This global optimization targets the creation of the best possible system with a reduced amount of required training data. The results harbor no doubts about the reliability of the global optimization method, allowing to outperform the ones of previous versions: 91.77% of predictions (89.24% with an anticipation higher than 10 ms) with a 3.55% of false alarms. Beyond its effectiveness, it also provides the potential opportunity to develop a spectrum of future predictors using different training datasets. 

Place, publisher, year, edition, pages
ELSEVIER SCIENCE SA , 2016. Vol. 112, p. 1014-1018
Keywords [en]
Disruption prediction, Genetic Algorithms, JET, APODIS, ITER
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:uu:diva-400302DOI: 10.1016/j.fusengdes.2016.02.049ISI: 000387836800159OAI: oai:DiVA.org:uu-400302DiVA, id: diva2:1390892
Conference
10th IAEA Technical Meeting on Control, Data Acquisition, and Remote Participation for Fusion Research, APR 20-24, 2015, Inst Plasma Res, Ahmedabad, INDIA
Note

For complete list of authors see http://dx.doi.org/10.1016/j.fusengdes.2016.02.049

Available from: 2020-02-03 Created: 2020-02-03 Last updated: 2020-02-03Bibliographically approved

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Andersson Sundén, ErikBinda, FedericoCecconello, MarcoConroy, SeanDzysiuk, NataliiaEricsson, GöranEriksson, JacobHellesen, CarlHjalmarsson, AndersPossnert, GöranSjöstrand, HenrikSkiba, MateuszWeiszflog, Matthias

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Andersson Sundén, ErikBinda, FedericoCecconello, MarcoConroy, SeanDzysiuk, NataliiaEricsson, GöranEriksson, JacobHellesen, CarlHjalmarsson, AndersPossnert, GöranSjöstrand, HenrikSkiba, MateuszWeiszflog, Matthias
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Applied Nuclear Physics
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