Light-Weighting of Planetary Gearbox Based on Multi-Strategy Optimization Sparrow Search Algorithm

During the planetary gearbox design process, the issue of light-weighting has been studied using various methods. To get better results from light-weighting, it is necessary for new methods to be considered to deal with this problem. This study proposes the multi-strategy optimized sparrow search al...

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Vydané v:Applied sciences Ročník 15; číslo 1; s. 122
Hlavní autori: Lin, Shuting, Zhang, Zhirong, Ma, Yinghao, Li, Hua
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Basel MDPI AG 01.01.2025
Predmet:
Algorithms
Design
Efficiency
gearbox design
Genetic algorithms
Light
light-weighting
Methods
multi-strategy optimization
Optimization
planetary gearbox
Ratios
ISSN:2076-3417, 2076-3417
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Abstract During the planetary gearbox design process, the issue of light-weighting has been studied using various methods. To get better results from light-weighting, it is necessary for new methods to be considered to deal with this problem. This study proposes the multi-strategy optimized sparrow search algorithm (MSOSSA) that employs five strategies to improve the ability to generate high-quality initial solutions, convergence ability and speed, and the quality of the solution. In the application, the volume of the gearbox is reduced by 6.39%, and the difference in ratio from the previous application is no more than 1.5%. The light-weighting problem of the gearbox is effectively solved. Compared to the other two algorithms, the MSOSSA is six times more likely to produce a high-quality initial solution in a set of 30 runs. The speed of convergence and the ability to converge and generate global optima are the best of the three.
AbstractList During the planetary gearbox design process, the issue of light-weighting has been studied using various methods. To get better results from light-weighting, it is necessary for new methods to be considered to deal with this problem. This study proposes the multi-strategy optimized sparrow search algorithm (MSOSSA) that employs five strategies to improve the ability to generate high-quality initial solutions, convergence ability and speed, and the quality of the solution. In the application, the volume of the gearbox is reduced by 6.39%, and the difference in ratio from the previous application is no more than 1.5%. The light-weighting problem of the gearbox is effectively solved. Compared to the other two algorithms, the MSOSSA is six times more likely to produce a high-quality initial solution in a set of 30 runs. The speed of convergence and the ability to converge and generate global optima are the best of the three.
Author Li, Hua
Ma, Yinghao
Zhang, Zhirong
Lin, Shuting
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StartPage 122
SubjectTerms Algorithms
Design
Efficiency
gearbox design
Genetic algorithms
Light
light-weighting
Methods
multi-strategy optimization
Optimization
planetary gearbox
Ratios
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