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Parameters inversion of nuclide migration based on accelerating genetic algorithm

Authors: null Yuan Cao; null Wenke Wang; null Tieliang Wang; null Feng Han;

Parameters inversion of nuclide migration based on accelerating genetic algorithm

Abstract

Aiming at the need for model parameters of numerical simulation of nuclide migration at a nuclear waste filed, making use of the observation data of nuclide concentration, taking important parameters like hydraulic conductivity and dispersity for inversion parameters, based on real-coded accelerating genetic algorithm, parameters inversion model of nuclide migration is put forward, algorithm routine is programmed, and values of key computational parameters are obtained. The simulation result accords with the observation result on the whole. A contrast with manual adjustment method and traditional genetic algorithm shows that this algorithm has advantages of overall convergence ability, fast convergence rate, high computational precision and quantitative ability for inversion effect. The algorithm has well feasibility and validity in application to numerical simulation of nuclide migration.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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