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Parameters inversion of nuclide migration based on accelerating genetic algorithm

机译:基于加速遗传算法的核素迁移参数反演

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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.
机译:针对核废物场核素迁移数值模拟的模型参数需求,利用核素浓度的观测数据,基于实数编码加速遗传算法,利用水力传导率和分散度等重要参数作为反演参数,提出了核素迁移参数反演模型,对算法程序进行了编程,得到了关键计算参数的取值。仿真结果总体上与观测结果吻合。与人工调整方法和传统遗传算法的对比表明,该算法具有总体收敛能力,收敛速度快,计算精度高和反演效果定量化的优点。该算法在核素迁移数值模拟中具有良好的可行性和有效性。

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