Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel
Joint Authors
Wang, Huaixiao
Liu, Jianyong
Li, Ling
Wang, Yong
Fu, Chengqun
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-23
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
To verify the availability of the improved quantum genetic algorithm in solving the scheduling engineering personnel problem, the following work has been carried out: the characteristics of the scheduling engineering personnel problem are analyzed, the quantum encoding method is proposed, and an improved quantum genetic algorithm is applied to address the issue.
Taking the low efficiency and the bad performance of the conventional quantum genetic algorithm into account, a universal improved quantum genetic algorithm is introduced to solve the scheduling engineering personnel problem.
Finally, the examples are applied to verify the effectiveness and superiority of the improved quantum genetic algorithm and the rationality of the encoding method.
American Psychological Association (APA)
Wang, Huaixiao& Li, Ling& Liu, Jianyong& Wang, Yong& Fu, Chengqun. 2014. Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033568
Modern Language Association (MLA)
Wang, Huaixiao…[et al.]. Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel. Abstract and Applied Analysis No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1033568
American Medical Association (AMA)
Wang, Huaixiao& Li, Ling& Liu, Jianyong& Wang, Yong& Fu, Chengqun. Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1033568
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033568