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Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression
Alternative TitleMulti-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression
We Xiaopeng1; Zhao Tingting1; Ju Zhenhe2; Zhang Shi2; Li Xiaoxiao2
2011
Source PublicationCHINESE JOURNAL OF MECHANICAL ENGINEERING
ISSN1000-9345
Volume24Issue:1Pages:42-49
AbstractIt is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure accords with the requirement of design. For the requirement generally is dynamic variety as time passes, new requirements will come, and some initial requirements can no longer be used. The number of product requirements, the gene length expressing requirements, the structure of the product, and the correlation matrix are varied with individuation of customer requirements of the product. By researching on the calculation mechanisms of dynamic variety, the approaches of gene expression and variable length gene expression are proposed. According to the diversity of structure selection in conceptual design and mutual relations between structure and function as well as structure and structure, the correlation matrixes between structure and function as well as structure and structure are defined. By the approach of making the sum of the elements of correlation matrix maximum, the mathematical models of multi-object optimization for structure design are provided based on variable requirements. An improved genetic algorithm called segment genetic algorithm is proposed based on optimization preservation simple genetic algorithm. The models of multi-object optimization are calculated by the segment genetic algorithm and hybrid genetic algorithm. An example for the conceptual design of a washing machine is given to show that the proposed method is able to realize the optimization structure design fitting for variable requirements. In addition, the proposed approach can provide good Pareto optimization solutions, and the individuation customer requirements for structures of products are able to be resolved effectively.
Other AbstractIt is a complicated problem for the bottom-to-top adaptive conceptual design of complicated products between structure and function. Reliable theories demand to be found in order to determine whether the structure accords with the requirement of design. For the requirement generally is dynamic variety as time passes, new requirements will come, and some initial requirements can no longer be used. The number of product requirements, the gene length expressing requirements, the structure of the product, and the correlation matrix are varied with individuation of customer requirements of the product. By researching on the calculation mechanisms of dynamic variety, the approaches of gene expression and variable length gene expression are proposed. According to the diversity of structure selection in conceptual design and mutual relations between structure and function as well as structure and structure, the correlation matrixes between structure and function as well as structure and structure are defined. By the approach of making the sum of the elements of correlation matrix maximum, the mathematical models of multi-object optimization for structure design are provided based on variable requirements. An improved genetic algorithm called segment genetic algorithm is proposed based on optimization preservation simple genetic algorithm. The models of multi-object optimization are calculated by the segment genetic algorithm and hybrid genetic algorithm. An example for the conceptual design of a washing machine is given to show that the proposed method is able to realize the optimization structure design fitting for variable requirements. In addition, the proposed approach can provide good Pareto optimization solutions, and the individuation customer requirements for structures of products are able to be resolved effectively.
Keywordgene expression multi-object optimization conceptual design genetic algorithm
Indexed ByCSCD
Language英语
Funding Project[National Natural Science Foundation of China] ; [Education Office of Liaoning Province, China]
CSCD IDCSCD:4121356
Citation statistics
Cited Times:1[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.imr.ac.cn/handle/321006/152336
Collection中国科学院金属研究所
Affiliation1.大连大学
2.中国科学院金属研究所
Recommended Citation
GB/T 7714
We Xiaopeng,Zhao Tingting,Ju Zhenhe,et al. Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression[J]. CHINESE JOURNAL OF MECHANICAL ENGINEERING,2011,24(1):42-49.
APA We Xiaopeng,Zhao Tingting,Ju Zhenhe,Zhang Shi,&Li Xiaoxiao.(2011).Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression.CHINESE JOURNAL OF MECHANICAL ENGINEERING,24(1),42-49.
MLA We Xiaopeng,et al."Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression".CHINESE JOURNAL OF MECHANICAL ENGINEERING 24.1(2011):42-49.
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