Product Form Modular Design Based on Genetic Algorithm

Xi Hui Yang; Yuan Peng Zhu; Jin Wang; Yan Kang

doi:10.4028/www.scientific.net/AMM.568-570.835

Paper Titles

Research on the GPS Elevation Fitting with RBF Neural Network Model Considering Effects of Sample Data Preprocessing
p.817

A Survey of Quantum Genetic Algorithm for Combinatorial Optimization Problems
p.822

The Study on User Model Construction Method Based on Ontology
p.827

Based on Data Fusion Intelligent Traffic Information Analysis and Optimization
p.831

Product Form Modular Design Based on Genetic Algorithm
p.835

Identification the Faulty Components in Power Networks Based on Wide Area Information and RBF Neural Network
p.842

Deep Boltzmann Machines Aided Design Based on Genetic Algorithms
p.848

An Effective Community Detection Method Based on Improved Genetic Algorithm
p.852

Prediction Model Research of Overfeed Sewing Shrinkage Based on BP Neural Network
p.858

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Product Form Modular Design Based on Genetic...

Product Form Modular Design Based on Genetic Algorithm

Abstract:

After the European and American countries put forward the modular design in the 1950s, and it become a hot topic again in 2013. Modular design make a well experience for product form design, but it also has its limitation. because of Genetic Algorithm (GA) has the superiority of optimizing and solving, This paper proposes a modular, hierarchical product modelling design based on GA, Using iterative repeated optimization genetic operators to make product modeling design to achieve an optimal form.

You might also be interested in these eBooks

Measurement Technology and its Application III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

835-841

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.835

Citation:

Cite this paper

Online since:

June 2014

Authors:

Xi Hui Yang, Yuan Peng Zhu*, Jin Wang, Yan Kang

Keywords:

Genetic Algorithm (GA), Iteration, Modular Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] http: /baike. baidu. com/link?url=GGSE6m5XVWkL7pJklzFH2HMvsQgQBC12UrbK2CfLyoJ7 gXQuLi3Z-iN7zCAC6A1s, 2013. 12. 15.

Google Scholar

[2] http: /baike. baidu. com/link?url=62Qc6PXahdj1lCwGVEzCs_U3Q2NyRkmVdKoKgMiepYrNe Dpug4LrulEbGXQFD-BO, 2013. 12. 15.

Google Scholar

[3] HollandJH. Adaptation in natural and artificial systems[M]. AnnArbor: University ofMichigan Press, (1975).

Google Scholar

[4] Bo Hao, Lixin Wan. Application of improved Genetic Algorism in mechanical product integer conceptual innovation design[A]. The 2nd national academic conference on geometric design and calculation, Ho-fei, 2005: 233-236.

DOI: 10.1109/caidcd.2006.329457

Google Scholar

[5] GAO Weiguo, XU Yanshen, CHEN Yongliang, ZHANG Qing. Theory and Methodology of Generalized Modular Design[J]. Chinese Journal of Mechanical Engineering, 2007, 43(6): 48-54.

Google Scholar

[6] BO Rui-feng, ZHANG Qi. The Application of GA in the Generation of Mechanical Scheme in Conceptual Design[J]. Journal of Test and Measurement Technology. 2004, 18(1): 78-82.

Google Scholar

[7] GE Ji-ke, QIU Yu-hui, WU Chun-ming, PU Guo-lin. Summary of Genetic Algorithms Research[J]. Application Research of Computers. 2008. 25(10): 2911-2916.

Google Scholar

[8] Yang Haicheng, Lu Changde, Yu Suihuai. Computer aided industrial design[M]. BEIJING INSTITUTE OF PRESS. (2009).

Google Scholar

[9] Yang Yanpu, Yu Suihuai, Chen Dengkai. Product design optimization method based on genetic algorithm[J]. Modern Manufacturing Engineering. 2012, 3.

Google Scholar

[10] Xu Yanshen, Hou Liang, Zhang Lianhong, Li Sen. Hydraulic Press of Generalized Modular Design Principle and Its Application[J]. Jixie Sheji, 2001, 18(1): 1-3, 41.

Google Scholar