Novel Quantum Genetic Algorithm and Its Applications

Zhang, Gexiang; Na, Li; Jin, Weidong; Hu, Laizhao

doi:10.1007/s11460-005-0014-8

Cited by 59 publications

(19 citation statements)

References 11 publications

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“…The rotation angle of quantum gate is generally fixed and can be obtained from the table. To address this problem, a novel quantum genetic algorithm is proposed by Zhang et al [33]. It can adaptively adjust the size of rotation angle.…”

Section: The Enhanced Omp Algorithmmentioning

confidence: 99%

Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis

Luo

2017

Shock and Vibration

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The vibration signal measured from the mechanical equipment is associated with the operation of key structure, such as the rolling bearing and gear. The effective signal processing method for early weak fault has attracted much attention and it is of vital importance in mechanical fault monitoring and diagnosis. The recently proposed atomic sparse decomposition algorithm is performed around overcomplete dictionary instead of the traditional signal analysis method using orthogonal basis operator. This algorithm has been proved to be effective in extracting useful components from complex signal by reducing influence of background noises. In this paper, an improved linear frequency-modulated (Ilfm) function as an atom is employed in the proposed enhanced orthogonal matching pursuit (EOMP) algorithm. Then, quantum genetic algorithm (QGA) with the OMP algorithm is integrated since the QGA can quickly obtain the global optimal solution of multiple parameters for rapidly and accurately extracting fault characteristic information from the vibration signal. The proposed method in this paper is superior to the traditional OMP algorithm in terms of accuracy and reducing the computation time through analyzing the simulation data and real world data. The experimental results based on the application of gear and bearing fault diagnosis indicate that it is more effective than traditional method in extracting fault characteristic information.

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Section: The Enhanced Omp Algorithmmentioning

confidence: 99%

Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis

Luo

2017

Shock and Vibration

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“…The lookup table of rotation angle in QGA explained in [20]. Therefore, QGA has better search ability as well as convergence speed and the performance of the algorithm will not be affected with a small population size [21].…”

Section: Quantum Genetic Algorithmmentioning

confidence: 99%

A Framework for Satellite Image Enhancement Using Quantum Genetic and Weighted IHS+Wavelet Fusion Method

Hamed¹,

Omer²,

Mohamed³

2016

ijacsa

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Abstract-this paper examined the applicability of quantum genetic algorithms to solve optimization problems posed by satellite image enhancement techniques, particularly superresolution, and fusion. We introduce a framework starting from reconstructing the higher-resolution panchromatic image by using the subpixel-shifts between a set of lower-resolution images (registration), then interpolation, restoration, till using the higher-resolution image in pan-sharpening a multispectral image by weighted IHS+Wavelet fusion technique. For successful superresolution, accurate image registration should be achieved by optimal estimation of subpixel-shifts. Optimal-parameters blind restoration and interpolation should be performed for the optimal quality higher-resolution image. There is a trade-off between spatial and spectral enhancement in image fusion; it is difficult for the existing methods to do the best in both aspects. The objective here is to achieve all combined requirements with optimal fusion weights, and use the parameters constraints to direct the optimization process. QGA is used to estimate the optimal parameters needed for each mathematic model in this framework "Super-resolution and fusion." The simulation results show that the QGA-based method can be used successfully to estimate automatically the approaching parameters which need the maximal accuracy, and achieve higher quality and efficient convergence rate more than the corresponding conventional GAbased and the classic computational methods.

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“…Modification of RQ-gate is not limited to the work provided by Han and Kim (2004). Zhang et al (2006) have presented a modified version of RQ-gate in which the value of rotation angle is updated by an adaptive function.…”

Section: Related Workmentioning

confidence: 99%

A quantum-inspired gravitational search algorithm for binary encoded optimization problems

Nezamabadi‐pour

2015

Engineering Applications of Artificial Intelligence

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Novel Quantum Genetic Algorithm and Its Applications

Cited by 59 publications

References 11 publications

Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis

Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis

A Framework for Satellite Image Enhancement Using Quantum Genetic and Weighted IHS+Wavelet Fusion Method

A quantum-inspired gravitational search algorithm for binary encoded optimization problems

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