NDLI: A novel quantum-inspired particle swarm algorithm and its application

Content Provider	IEEE Xplore Digital Library
Author	Ru Nie Xinzheng Xu Jianhua Yue
Copyright Year	2010
Description	Author affiliation: School of Computer Science and Technology, China University of Mining and Technology, Xuzhou, China (Ru Nie; Xinzheng Xu) \|\| School of Resources and Earth Sciences, China University of Mining and Technology, Xuzhou, China (Jianhua Yue)
Abstract	The quantum-inspired optimization algorithm is a rising intelligence algorithm which merges quantum mechanics and computing intelligence and outperforms original PSO in search ability but has fewer parameters to control. In this paper, an improved quantum-behaved particle swarm optimization algorithm using mutation operator (MQPSO) was improved which aimed at enhancing global search capability. The application of mutation operators diversifies the QPSO population and improves the performance in preventing premature convergence to local minima. The proposed improved QPSO is tested on several benchmark functions and compared with QPSO and standard PSO. The application of QPSO to seismic wave impedance inversion demonstrates the effectiveness and efficiency of the QPSO.
Starting Page	2556
Ending Page	2560
File Size	489517
Page Count	5
File Format	PDF
ISBN	9781424459582
e-ISBN	9781424459612
DOI	10.1109/ICNC.2010.5583225
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	inverse problem quantum mechanics Reflection Impedance Mathematical model Seismic waves Particle swarm optimization PSO QPSO Optimization Convergence
Content Type	Text
Resource Type	Article

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