Constraint adjustment and computational resource allocation strategies for decomposition-based large-scale optimization of ship cabin structures

ObjectiveTo enhance the application effectiveness of the decomposition-based optimization method in the large-scale optimization design of ship cabin structures, a constraint progressive relaxation adjustment strategy and a computational resource allocation strategy are proposed that consider both t...

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Vydané v:Zhongguo Jianchuan Yanjiu Ročník 20; číslo 4; s. 134 - 142
Hlavní autori: Qiangjun LUO, Jun LIU, Puyu JIANG, Yuansheng CHENG
Médium: Journal Article
Jazyk:Chinese
English
Vydavateľské údaje: Editorial Office of Chinese Journal of Ship Research 01.08.2025
Predmet:
computational resource allocation strategy
constraint adjustment strategy
decomposition-based optimization algorithm
large-scale optimization
naval architecture
ship cabin structure
structural optimization
ISSN:1673-3185
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Shrnutí:ObjectiveTo enhance the application effectiveness of the decomposition-based optimization method in the large-scale optimization design of ship cabin structures, a constraint progressive relaxation adjustment strategy and a computational resource allocation strategy are proposed that consider both the contribution of the sub-problem to the objective and the margin of constraints of the sub-problem. MethodsConstraint progressive relaxation adjustment strategy: initially, a tightened constraint boundary is given and then gradually relaxed until it recovers to the original constraint boundary, enabling all sub-problems to be more fully optimized. Computational resource allocation strategy: optimization computing resources are comprehensively allocated based on the contribution of the sub-problem to the objective and the margin of constraints of the sub-problem. The two strategies are then combined and their coupling effects analyzed.ResultsCompared with the original algorithm, under the same computational resources, the cabin weight is reduced by 10.3% and 7.0% when using the constraint progressive relaxation adjustment strategy and computational resource allocation strategy respectively, and the weight is reduced by 22.2% when both strategies are applied simultaneously, relative to the weight obtained by the original optimization method. Conclusion The proposed strategies are effective and possess value for the decomposition-based large-scale optimization of ship structures.
ISSN:1673-3185
DOI:10.19693/j.issn.1673-3185.03677