中文摘要：

将自适应量子遗传算法引入到地震定位中,通过多种数值试验证明了算法的有效性,同时也具有较强的全局搜索能力和抗噪能力.即使用于定位的台站数目较少且分布不理想,该算法通过多次反演求取平均值仍然能得到令人满意的结果.另外,利用多次数值试验估测的自适应量子遗传算法的定位精度较高,误差较小.将自适应量子遗传算法应用于山东省及邻区的地震重定位,均方根残差由重定位前的1.162s减小到重定位后的0.621s,重定位后的地震大多位于中上地壳,震源深度小于20km.通过对各剖面震源分布的分析,发现山东省及邻区地震主要受控于区域内的深大走滑断裂,且中强震多发生在高/低速异常体周围,尤以高低速异常过渡地带频发.

英文摘要：

The Adaptive Quantum Genetic Algorithm（AQGA）is introduced into the seismic relocation,and shows up its effectiveness,the strong global searching ability,and the anti-noise ability demonstrated by a variety of numerical tests.Even though the seismic stations are limited and are not distributed ideally,the obtained results are still satisfactory by averaging multiple inversion results.In addition,the AQGA has a higher accuracy in relocation and the error of relocation for the algorithm is estimated to be small by using several numerical tests.Then the algorithm is applied to the relocation of the earthquakes occurred in Shandong Province and neighboring areas.The root mean square residual decreases from 1.162 sto 0.621 s afterrelocation,and the focal depths of most earthquakes are less than 20 km,indicating that the earthquakes mostly occurred in the upper and middle crust.The distribution of the hypocenters along the profiles indicates that most earthquakes are controlled by the deep strike-slip faults in the study area,and the moderate and large earthquakes mainly took place around the high/low velocity anomalies,especially in the transitional zone between the high-and the low-velocity anomalies.