Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression

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	Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression
Alternative Title	Multi-objective Optimization Conceptual Design of Product Structure Based on Variable Length Gene Expression
	We Xiaopeng 1; Zhao Tingting 1; Ju Zhenhe 2; Zhang Shi 2; Li Xiaoxiao 2
	2011
Source Publication	CHINESE JOURNAL OF MECHANICAL ENGINEERING
ISSN	1000-9345
Volume	24 Issue:1 Pages:42-49
Abstract	It 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 Abstract	It 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.
Keyword	gene expression multi-object optimization conceptual design genetic algorithm
Indexed By	CSCD
Language	英语
Funding Project	[National Natural Science Foundation of China] ; [Education Office of Liaoning Province, China]
CSCD ID	CSCD:4121356
Citation statistics	Cited Times:1[CSCD] [CSCD Record]
Document Type	期刊论文
Identifier	http://ir.imr.ac.cn/handle/321006/152338
Collection	中国科学院金属研究所
Affiliation	1.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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