Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical Function Optimization
Joint Authors
Huang, Xingwang
Li, Chaopeng
Pu, Yunming
He, Bingyan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-16
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Quantum-behaved bat algorithm with mean best position directed (QMBA) is a novel variant of bat algorithm (BA) with good performance.
However, the QMBA algorithm generates all stochastic coefficients with uniform probability distribution, which can only provide a relatively small search range, so it still faces a certain degree of premature convergence.
In order to help bats escape from the local optimum, this article proposes a novel Gaussian quantum bat algorithm with mean best position directed (GQMBA), which applies Gaussian probability distribution to generate random number sequences.
Applying Gaussian distribution instead of uniform distribution to generate random coefficients in GQMBA is an effective technique to promote the performance in avoiding premature convergence.
In this article, the combination of QMBA and Gaussian probability distribution is applied to solve the numerical function optimization problem.
Nineteen benchmark functions are employed and compared with other algorithms to evaluate the accuracy and performance of GQMBA.
The experimental results show that, in most cases, the proposed GQMBA algorithm can provide better search performance.
American Psychological Association (APA)
Huang, Xingwang& Li, Chaopeng& Pu, Yunming& He, Bingyan. 2019. Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical Function Optimization. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129504
Modern Language Association (MLA)
Huang, Xingwang…[et al.]. Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical Function Optimization. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-18.
https://search.emarefa.net/detail/BIM-1129504
American Medical Association (AMA)
Huang, Xingwang& Li, Chaopeng& Pu, Yunming& He, Bingyan. Gaussian Quantum Bat Algorithm with Direction of Mean Best Position for Numerical Function Optimization. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-18.
https://search.emarefa.net/detail/BIM-1129504
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129504