Parametric analysis of flux creep-flow model by using genetic algorithm

Minami, J; Edamoto, T.; Uryū, Kōji; Ishibashi, Toshiyuki; Otabe, Edmund Soji; Kiuchi, M.

doi:10.1016/j.phpro.2012.03.456

Cited by 1 publication

(2 citation statements)

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“…Further information is in Refs. [1,2]. In the above procedure, it is found that the all individuals move to better positions than one generation before.…”

Section: Calculationmentioning

confidence: 99%

“…However, it is difficult to determine the pinning parameter to fit the experimental and calculated results, since the number of fitting parameters is 4 to 5. In our previous work, Genetic Algorithm (GA) was used to determine the pining parameters of the flux creep-flow model [2]. It was found that GA was effective to determine the parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Determination of Pinning Parameters in Flux Creep-Flow Model for E-J characteristics of High Temperature Superconductors by using Differential Evolution

Otabe

Taguchi

Tsuruda

et al. 2017

J. Phys.: Conf. Ser.

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Abstract.The pinning parameters such as strength of pinning force, temperature dependence of pinning force and so on using in flux creep-flow model to explain electric field vs current density ( -) characteristics were determined by Differential Evolution (DE). DE is one of the methods in Evolutionary Computation (EC) to find an optimization of a problem. First, a model data of -characteristics in which the pinning parameters were given was prepared, and it was confirmed that DE can find the given pinning parameters from the model data. Then, DE and mesh method were used to determine the pinning parameters in experimentalcharacteristics of GdBa CuO high temperature superconductor. In mesh method, the all combinations of pinning parameters with constant interval for each parameter are calculated, and best set of pinning parameters is selected. It was found that DE shows better performance than mesh method in terms of calculation time and accuracy for determining pinning parameters.

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“…Further information is in Refs. [1,2]. In the above procedure, it is found that the all individuals move to better positions than one generation before.…”

Section: Calculationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%