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Parameter-tuning networks: Experiments and active-walk model

Xiao-Pu Han1, Chun-Dong Hu2, Zhi-Min Liu2 and Bing-Hong Wang1,3

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The tuning process of a large apparatus of many components could be represented and quantified by constructing parameter-tuning networks. The experimental tuning of the ion source of the neutral beam injector of the HT-7 Tokamak is presented as an example. Stretched-exponential cumulative degree distributions are found in the parameter-tuning networks. An active-walk model with eight walkers is constructed. Each active walker is a particle moving with friction in an energy landscape; the landscape is modified by the collective action of all the walkers. Numerical simulations show that the parameter-tuning networks generated by the model also give stretched exponential functions, in good agreement with experiments. Our methods provide a new insight to understand the action of humans in the parameter-tuning of experimental processes, and our model could be helpful for the experimental research and other optimization problems.


PACS

89.75.Hc Networks and genealogical trees

89.75.-k Complex systems

05.40.Fb Random walks and Levy flights

Subjects

Statistical physics and nonlinear systems

Dates

Issue 2 (July 2008)

Received 23 March 2008, accepted for publication 2 June 2008

Published 2 July 2008



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