Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption

Li, Chao; Shi, Mengna; Zhou, Yanqi; Wang, Erfu

doi:10.1155/2021/6627804

Cited by 3 publications

(2 citation statements)

References 30 publications

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“…According to the results of previous studies [ 1 , 3 , 23 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 ], the quality of speech blind source separation could be improved by swarm intelligence algorithms, but it is rare to find a study about multi-groups with random linear mixed signals. In their studies, the quality, convergence speed, and convergence accuracy of BSS were significantly improved by enhancing the swarm intelligence optimization algorithm.…”

Section: Discussionmentioning

confidence: 99%

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Liu

et al. 2021

Sensors

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In recent years, separating effective target signals from mixed signals has become a hot and challenging topic in signal research. The SI-BSS (Blind source separation (BSS) based on swarm intelligence (SI) algorithm) has become an effective method for the linear mixture BSS. However, the SI-BSS has the problem of incomplete separation, as not all the signal sources can be separated. An improved algorithm for BSS with SI based on signal cross-correlation (SI-XBSS) is proposed in this paper. Our method created a candidate separation pool that contains more separated signals than the traditional SI-BSS does; it identified the final separated signals by the value of the minimum cross-correlation in the pool. Compared with the traditional SI-BSS, the SI-XBSS was applied in six SI algorithms (Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Differential Evolution (DE), Sine Cosine Algorithm (SCA), Butterfly Optimization Algorithm (BOA), and Crow Search Algorithm (CSA)). The results showed that the SI-XBSS could effectively achieve a higher separation success rate, which was over 35% higher than traditional SI-BSS on average. Moreover, SI-SDR increased by 14.72 on average.

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Section: Discussionmentioning

confidence: 99%

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Liu

et al. 2021

Sensors

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“…Using the ant colony particle swarm optimization algorithm, the similarity of users is calculated based on the click frequency and resource category given by time to the preschool education resource category and the different weights of the 2 indicators on the click path, respectively. In this way, we can improve the efficiency of preschool education resource scheduling and provide core support for preschool education resource-sharing platforms [16][17].…”

Section: Shared Platform Resource Scheduling Schemementioning

confidence: 99%

Construction of preschool education resource sharing platform based on matrix model

2023

Applied Mathematics and Nonlinear Sciences

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This paper achieves high-quality sharing of preschool educational resources among learners based on a matrix model. Through the shared resource matrix analysis method, the symmetry of the matrix about this educational resource is judged so that the resource can transmit information implicitly among all subjects. The difference between noise and preschool education resource data points is enhanced using the K-nearest neighbor search algorithm. Combined with the ant colony particle swarm optimization algorithm, the sharing sequence and time of the optimal preschool education resources are calculated, and a preschool education resource-sharing platform is constructed. To verify the applicability of the constructed platform, the simulation analysis results show that the resource search accuracy of the platform constructed in this paper reaches 94.51% on average, and the compatibility performance index is as high as 7.287vw, which is 3.25vw and 3.421vw higher compared to other platforms, respectively. The results show that the matrix model can eliminate resource heterogeneity and provide convenient and efficient interactive technical support for constructing a preschool education resource-sharing platform.

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Hybridizing WOA with PSO for coordinating material handling equipment in an automated container terminal considering energy consumption

Hsu,

Wang,

Thanh Tam Nguyen

et al. 2024

Advanced Engineering Informatics

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Quantum Particle Swarm Optimization Extraction Algorithm Based on Quantum Chaos Encryption

Cited by 3 publications

References 30 publications

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Improved Swarm Intelligent Blind Source Separation Based on Signal Cross-Correlation

Construction of preschool education resource sharing platform based on matrix model

Hybridizing WOA with PSO for coordinating material handling equipment in an automated container terminal considering energy consumption

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