The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization
Joint Authors
Wang, Huaixiao
Liu, Jianyong
Zhi, Jun
Fu, Chengqun
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-08
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To accelerate the evolutionary process and increase the probability to find the optimal solution, the following methods are proposed to improve the conventional quantum genetic algorithm: an improved method to determine the rotating angle, the self-adaptive rotating angle strategy, adding the quantum mutation operation and quantum disaster operation.
The efficiency and accuracy to search the optimal solution of the algorithm are greatly improved.
Simulation test shows that the improved quantum genetic algorithm is more effective than the conventional quantum genetic algorithm to solve some optimization problems.
American Psychological Association (APA)
Wang, Huaixiao& Liu, Jianyong& Zhi, Jun& Fu, Chengqun. 2013. The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010528
Modern Language Association (MLA)
Wang, Huaixiao…[et al.]. The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010528
American Medical Association (AMA)
Wang, Huaixiao& Liu, Jianyong& Zhi, Jun& Fu, Chengqun. The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010528
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010528