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基于量子遗传算法的TDOA定位技术研究 总被引:1,自引:0,他引:1
为了解决TDOA定位估计中遇到的非线性最优化问题,提出了一种联合使用Chan算法和量子遗传算法的混合定位算法,采用二进制量子编码和量子旋转门更新个体,针对TDOA方式进行最佳坐标搜索。仿真结果表明,该算法性能稳定,能找到全局最优的解,相对于Chan算法精度更高,相对于遗传算法有更快的收敛速度。 相似文献
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To simulate the fatigue characteristics of the pile-board structure under long-term dynamic load, using the in-situ dynamic testing system DTS-1, the forced vibration loading was repeated one million times at different cross-sections of the pile-board structure for high-speed railway. The dynamic deformation, permanent deformation and dynamic stress of main reinforcements were measured. The test results show that the dynamic responses of the pile-board structure almost did not vary with the forced vibration... 相似文献