Improved quantum genetic algorithm in application of scheduling engineering personnel (Q1722233)
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scientific article; zbMATH DE number 7021845
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Improved quantum genetic algorithm in application of scheduling engineering personnel |
scientific article; zbMATH DE number 7021845 |
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Improved quantum genetic algorithm in application of scheduling engineering personnel (English)
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14 February 2019
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Summary: 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.
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