Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel

Joint Authors

Wang, Huaixiao
Liu, Jianyong
Li, Ling
Wang, Yong
Fu, Chengqun

Source

Abstract and Applied Analysis

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

Mathematics

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