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 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | Chinese English |
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Editorial Office of Chinese Journal of Ship Research
01.08.2025
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| ISSN: | 1673-3185 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Yuansheng CHENG Jun LIU Puyu JIANG Qiangjun LUO |
| Author_xml | – sequence: 1 fullname: Qiangjun LUO organization: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 2 fullname: Jun LIU organization: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 3 fullname: Puyu JIANG organization: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China – sequence: 4 fullname: Yuansheng CHENG organization: School of Naval Architecture and Ocean Engineering, Huazhong University of Science and Technology, Wuhan 430074, China |
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| SubjectTerms | computational resource allocation strategy constraint adjustment strategy decomposition-based optimization algorithm large-scale optimization naval architecture ship cabin structure structural optimization |
| Title | Constraint adjustment and computational resource allocation strategies for decomposition-based large-scale optimization of ship cabin structures |
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