| 量子微粒群在波阻抗反演中的应用 |
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| 引用本文： | 聂茹,岳建华. 量子微粒群在波阻抗反演中的应用[J]. 计算机工程与应用, 2009, 45(5): 23-25. DOI: 10.3778/j.issn.1002-8331.2009.05.007 |
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| 作者姓名： | 聂茹 岳建华 |
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| 作者单位： | 中国矿业大学,计算机科学与技术学院,江苏,徐州,221116;中国矿业大学,资源与地球科学学院,江苏,徐州,221116;中国矿业大学,资源与地球科学学院,江苏,徐州,221116 |
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| 摘 要： | 求解的局部性和计算速度慢是目前非线性波阻抗反演存在的主要缺陷。在与微粒群算法进行比较的基础上，研究了量子微粒群反演算法。数值实验结果表明，与微粒群反演相比，量子微粒群波阻抗反演在收敛速度和避免陷入局部极小等方面有着一定的优势，适合于非线性反演问题，该方法也适用于其他领域非线性最优化问题的求解，具有较强的普适性。
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| 关 键 词： | 微粒群 量子微粒群 波阻抗反演 |
| 收稿时间： | 2008-10-21 |
| 修稿时间： | 2008-11-24 |
Quantum Particle Swarm Optimization impedance inversion and its implementation |
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| NIE Ru,YUE Jian-hua. Quantum Particle Swarm Optimization impedance inversion and its implementation[J]. Computer Engineering and Applications, 2009, 45(5): 23-25. DOI: 10.3778/j.issn.1002-8331.2009.05.007 |
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| Authors: | NIE Ru YUE Jian-hua |
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| Affiliation: | 1.School of Computer Science and Technology，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China 2.School of Resource and Geoscience，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China |
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| Abstract: | Local minimum and slow convergence are the main shortcomings in nonlinear impedance inversion problems.Based on the comparison with particle swarm optimization algorithm,quantum particle swarm inversion algorithm is studied in this paper.A model test and a practical case show that the quantum particle swarm optimization algorithm is superior to particle swarm opti- mization algorithm in convergence speed and global optimum.The proposed quantum particle swarm optimization algorithm is fit for nonlinear inver... |
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| Keywords: | Particle Swarm Optimization（PSO） Quantum PSO impedance inversion |
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