Quantum Particle Swarm Optimization impedance inversion and its implementation

doi:10.3778/j.issn.1002-8331.2009.05.007

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (5): 23-25.DOI: 10.3778/j.issn.1002-8331.2009.05.007

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Quantum Particle Swarm Optimization impedance inversion and its implementation

NIE Ru^1,2,YUE Jian-hua²

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

Received:2008-10-21 Revised:2008-11-24 Online:2009-02-11 Published:2009-02-11
Contact: NIE Ru

量子微粒群在波阻抗反演中的应用

聂茹^1,2,岳建华²

1.中国矿业大学计算机科学与技术学院，江苏徐州 221116
2.中国矿业大学资源与地球科学学院，江苏徐州 221116

通讯作者: 聂茹

Abstract

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 optimization algorithm in convergence speed and global optimum.The proposed quantum particle swarm optimization algorithm is fit for nonlinear inversion and other nonlinear optimization problems in other fields.

Key words: Particle Swarm Optimization（PSO）, Quantum PSO, impedance inversion

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。

关键词: 微粒群, 量子微粒群, 波阻抗反演

NIE Ru^1,2,YUE Jian-hua². Quantum Particle Swarm Optimization impedance inversion and its implementation[J]. Computer Engineering and Applications, 2009, 45(5): 23-25.

聂茹^1,2,岳建华². 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.

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Quantum Particle Swarm Optimization impedance inversion and its implementation

量子微粒群在波阻抗反演中的应用

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