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将量子遗传算法引入到层状介质大地电磁数据的反演,得到了层状介质的大地电磁量子遗传反演法.数值试验结果发现该算法仍然存在较严重的早熟收敛现象.为此,将自适应思想引入到量子遗传算法中来,通过动态调整量子遗传算法的模型搜索空间,建立了一种新的改进型量子遗传算法——自适应量子遗传算法,使算法在迭代过程中能自适应地寻找模型最优值.通过典型测试函数和层状介质大地电磁模型数值试验,结果表明,改进算法有效压制了常规量子遗传算法的早熟收敛性,提高了算法的搜索效率和反演效果.采用该算法对实际的大地电磁资料进行了处理,取得了较好的地质效果.
The quantum genetic algorithm is introduced into the inversion of the geomagnetic data of layered media, and the geomagnetic electromagnetic genetic genetic algorithm of layered media is obtained. The numerical results show that the algorithm still has more severe premature convergence. For this reason, Adaptation thought is introduced into quantum genetic algorithm. By dynamically adjusting the model search space of quantum genetic algorithm, a new improved quantum genetic algorithm, called adaptive quantum genetic algorithm, is developed to make the algorithm adaptively The results show that the improved algorithm effectively suppresses the premature convergence of the conventional quantum genetic algorithm and improves the searching efficiency and the inversion effect of the algorithm.Using this method, The algorithm deals with the actual geomagnetic data and achieves a good geological result.