Open Access
2014 Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel
Huaixiao Wang, Ling Li, Jianyong Liu, Yong Wang, Chengqun Fu
Abstr. Appl. Anal. 2014: 1-10 (2014). DOI: 10.1155/2014/164961

Abstract

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.

Citation

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Huaixiao Wang. Ling Li. Jianyong Liu. Yong Wang. Chengqun Fu. "Improved Quantum Genetic Algorithm in Application of Scheduling Engineering Personnel." Abstr. Appl. Anal. 2014 1 - 10, 2014. https://doi.org/10.1155/2014/164961

Information

Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07021845
MathSciNet: MR3246316
Digital Object Identifier: 10.1155/2014/164961

Rights: Copyright © 2014 Hindawi

Vol.2014 • 2014
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