Optimization Design of Hub Reducer Based on Improved Sparrow Search Algorithm
An improved sparrow search algorithm (ISSA) is proposed to solve the problems of poor development ability of sparrow search algorithm (SSA)， reduced population diversity when approaching the global optimum， and easy to fall into the local optimum solution. The algorithm introduces the particle symbi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin University of Science and Technology Publications
2022-10-01
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| Series: | Journal of Harbin University of Science and Technology |
| Subjects: | |
| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=2138 |
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| Summary: | An improved sparrow search algorithm (ISSA) is proposed to solve the problems of poor development ability of sparrow search algorithm (SSA)， reduced population diversity when approaching the global optimum， and easy to fall into the local optimum solution. The algorithm introduces the particle symbiosis mechanism and Levy flight mechanism， uses the current individual to balance the individual， and is guided only by the historical optimal individual and the global optimal individual. The simulation experiments with other four algorithms on 12 benchmark functions show that Issa improves the global optimal search ability and avoids the algorithm from falling into local optimization. Based on volume and efficiency， a multi-objective optimization model of wheel reducer is established. After optimization， the volume of the reducer is reduced by 53.44% with the same efficiency. |
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| ISSN: | 1007-2683 |