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首页> 外文期刊>International Journal of Modern Physics, C. Physics and Computers >Efficiency of genetic algorithm and determination of ground state energy of impurity in a spherical quantum dot
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Efficiency of genetic algorithm and determination of ground state energy of impurity in a spherical quantum dot

机译:遗传算法的效率和球形量子点中杂质基态能量的确定

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In the present work, genetic algorithm method (CA) is applied to the problem of impurity at the center of a spherical quantum dot for infinite confining potential case. For this purpose, any trial variational wave function is considered for the ground state and energy values are calculated. In applying the GA to the problem under investigation, two different approaches were followed. Furthermore, a standard variational procedure is also performed to determine the energy eigenvalues. The results obtained by all methods are found in satisfactory agreement with each other and also with the exact values in literature. But, it is found that the values obtained by genetic algorithm based upon wavefunction optimization are closer to the exact values than standard variational and also than gene-tic algorithm based on parameter optimization methods. [References: 15]
机译:在当前工作中,对于无限局限势的情况,遗传算法方法(CA)被应用于球形量子点中心的杂质问题。为此,考虑基态的任何试验变分波函数并计算能量值。在将遗传算法应用于所研究的问题时,采用了两种不同的方法。此外,还执行标准的变化过程以确定能量特征值。通过所有方法获得的结果相互之间令人满意,并且在文献中也具有确切的值。但是,发现基于波动函数优化的遗传算法获得的值比标准变分和基于参数优化方法的遗传算法更接近精确值。 [参考:15]

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