Parameters inversion of nuclide migration based on accelerating genetic algorithm
Yuan Cao, Wenke Wang, Tieliang Wang, Feng Han · 2011
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.