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

Wei Xiaopeng ¹ Zhao Tingting ² ^* Lju Zhenhe ³ Zhang Shi ⁴ Li Xiaoxiao ⁵

文摘	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
来源	Chinese Journal of Mechanical Engineering ,2011,24(1):42-49 【核心库】
DOI	10.3901/cjme.2011.01.042
关键词	gene expression ; multi-object optimization ; conceptual design ; genetic algorithm
地址	1. School of Management, Dalian University of Technology, Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education, Dalian, 116023 2. School of Management, Dalian University of Technology, Dalian, 116023 3. New Energy Center Shenyang Institute of Engineering, Shenyang, 110136 4. Institute of Systems Engineering, Northeastern University, Shenyang, 110004 5. Liaoning Solar Energy R&D Co., Ltd, Shenyang, 110136
语种	英文
文献类型	研究性论文
ISSN	1000-9345
学科	机械、仪表工业
基金	国家自然科学基金 ; Program of Education Office of Liaoning Province, China
文献收藏号	CSCD:4121356

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