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J-GLOBAL ID:201902249322314658   Reference number:19A2932758

Simultaneous structure design optimization of multiple car models using multiobjective evolutionary algorithm and FEM structure analysis

多目的進化アルゴリズムとFEM構造解析を用いた複数車種の車両構造同時設計最適化
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Material:
Volume: 85  Issue: 879  Page: ROMBUNNO.19-00293(J-STAGE)  Publication year: 2019 
JST Material Number: U0182B  ISSN: 2187-9761  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Semi thesaurus term:
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.

JST classification (2):
JST classification
Category name(code) classified by JST.
Automobile design,structure and materials in general  ,  Other methods of operations research 
Reference (12):
  • Deb, K., An efficient constraint handling method for genetic algorithms,Computer Methods in Applied Mechanics and Engineering, Vol. 186, Issues 2-4 (2000), pp. 311-338.
  • Fujita, K., Optimization methodologies for product variety design (1st report, design optimality across multiple products and its situation), Vol. 68, No. 666 (2002), pp. 675-682 (in Japanese).
  • Jaimes, A. L., Oyama, A. and Fujii, K., A ranking method based on two preference criteria: Chebyshev function and ε-indicator, Proceedings of 2015 IEEE Congress on Evolutionary Computation (2015).
  • Kohira, T., Applications and challenges of multidisciplinary approximate optimization in car body development, Workshop on Multiobjective Design Exploration for Real-World Design Optimization Problems (2012).
  • Kohira, T. and Amano, H., Design knowledge extraction by multi-disciplinary optimization and trade-off analysis for car structure optimization, Journal of the Institute of Electrical Engineers of Japan, C (Electronics, Information, and Systems), Vol.134, No.9 (2014), pp. 1348-1354 (in Japanese).
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