Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Data Mining-Based Strategy for Direct Multidisciplinary Optimization

Journal Article
2015-01-0479
ISSN: 1946-3979, e-ISSN: 1946-3987
DOI: https://doi.org/10.4271/2015-01-0479
Published April 14, 2015 by SAE International in United States
A Data Mining-Based Strategy for Direct Multidisciplinary Optimization
Sector:
Citation: Xu, H., Chuang, C., and Yang, R., "A Data Mining-Based Strategy for Direct Multidisciplinary Optimization," SAE Int. J. Mater. Manf. 8(2):357-363, 2015, https://doi.org/10.4271/2015-01-0479.
Language: English

References

  1. Hill W. J. and Hunter W. G. A Review of Response Surface Methodology - a Literature Survey Technometrics 8 571 1966
  2. Jin R. , Chen W. , and Simpson T. W. Comparative studies of metamodelling techniques under multiple modelling criteria Structural and Multidisciplinary Optimization 23 1 13 Dec 2001
  3. Simpson T. W. , Peplinski J. D. , Koch P. N. , and Allen J. K. Metamodels for computer-based engineering design: survey and recommendations Engineering with Computers 17 129 150 2001
  4. Fang H. , Rais-Rohani M. , Liu Z. , and Horstemeyer M. F. A comparative study of metamodeling methods for multiobjective crashworthiness optimization Computers & Structures 83 2121 2136 Sep 2005
  5. Xu , H. , Majcher , M. , Chuang , C. , Fu , Y. et al. Comparative Benchmark Studies of Response Surface Model-Based Optimization and Direct Multidisciplinary Design Optimization SAE Technical Paper 2014-01-0400 2014 10.4271/2014-01-0400
  6. Majcher , M. , Xu , H. , Fu , Y. , Chuang , C. et al. A Comparative Benchmark Study of using Different Multi-Objective Optimization Algorithms for Restraint System Design SAE Int. J. Trans. Safety 2 2 301 306 2014 10.4271/2014-01-0564
  7. Elbeltagi E. , Hegazy T. , and Grierson D. Comparison among five evolutionary-based optimization algorithms Advanced Engineering Informatics 19 43 53 Jan 2005
  8. Goldberg D. E. Genetic Algorithms in Search, Optimization & Machine Learning Addison-Wesley 1989
  9. Kirkpatrick S. , Gelatt C. D. , and Vecchi M. P. Optimization by simmulated annealing science 220 671 680 1983
  10. Eberhart R. C. and Shi Y. Particle swarm optimization: developments, applications and resources Evolutionary Computation, 2001. Proceedings of the 2001 Congress on 2001 81 86
  11. Van der Velden A. and S. I. M. U. L. I. A. Director Isight Design Optimization Methodologies ASM Handbook 22 2010
  12. Chase N. , Rademacher M. , Goodman E. , Averill R. , and Sidhu R. A Benchmark Study of Multi-Objective Optimization Methods [Online]
  13. Radhi H. E. and Barrans S. M. Comparison between Multiobjective Population-Based Algorithms in Mechanical Problem Applied Mechanics and Materials 110 2383 2389 2012
  14. Edahiro M. A clustering-based optimization algorithm in zero-skew routings Proceedings of the 30th international Design Automation Conference ACM 1993
  15. Ortigosa P. M. , García I. , and Jelasity M. Reliability and performance of UEGO, a clustering-based global optimizer Journal of Global Optimization 19 265 289 2001
  16. Zhang J. , Chung H. H. , and Lo W. L. Clustering-based adaptive crossover and mutation probabilities for genetic algorithms Evolutionary Computation, IEEE Transactions 11 326 335 2007
  17. Wang Y. J. , Zhang J. S. , and Zhang G. Y. A dynamic clustering based differential evolution algorithm for global optimization European Journal of Operational Research 183 56 73 2007
  18. Rousseeuw P. J. Silhouettes: a graphical aid to the interpretation and validation of cluster analysis Journal of computational and applied mathematics 20 53 65 1987
  19. Wu J. and Azarm S. Metrics for quality assessment of a multiobjective design optimization solution set Journal of Mechanical Design 123 18 25 2001
  20. Okabe T. , Jin Y. , and Sendhoff B. A critical survey of performance indices for multi-objective optimisation Evolutionary Computation, 2003. CEC'03. The 2003 Congress on 2003 878 885
  21. Yang R. and Gu L. Experience with approximate reliability-based optimization methods Structural and Multidisciplinary Optimization 26 152 159 2004

Cited By

Recommended Content

Technical Paper Effect of Trigger Variation on Frontal Rail Crash Performance
Technical Paper Robust Design of Side Impact Simulation Using FEM Based on VCM Concept
Technical Paper Optimization of a Modular Cockpit Cross Car Beam for Crashworthiness