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A Comparative Benchmark Study of using Different Multi-Objective Optimization Algorithms for Restraint System Design

Journal Article
2014-01-0564
ISSN: 2327-5626, e-ISSN: 2327-5634
Published April 01, 2014 by SAE International in United States
A Comparative Benchmark Study of using Different Multi-Objective Optimization Algorithms for Restraint System Design
Sector:
Citation: 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, https://doi.org/10.4271/2014-01-0564.
Language: English

References

  1. Yajima , H. , Nozaki , A. , Yu , Q. , and Shiratori , M. Influence on Injury Criteria of Occupant Restraint System SAE Technical Paper 2000-01-0623 2000 10.4271/2000-01-0623
  2. Fu , Y. A New Hybrid Stochastic Optimization Method for Vehicle Structural Design SAE Technical Paper 2003-01-0881 2003 10.4271/2003-01-0881
  3. Slaats , P. , Lee , E. , and de Castro , I. Inflatable Restraint System Design Optimization Approaches SAE Technical Paper 2007-01-0354 2007 10.4271/2007-01-0354
  4. Montgomery , D.C. Applications of Design of Experiments in Engineering Quality and Reliability Engineering International 24 501 502 2008 10.1002/qre.969
  5. Anand , F.S. , Lee , J.H. , and Realff , M.J. Optimal decision-oriented Bayesian design of experiments Journal of Process Control 20 1084 1091 2010
  6. Shi , L. , Olaffson , S. , and Chen , Q. A new hybrid optimization algorithm Computers and Industrial Engineering 36 409 426 1999
  7. Reeves , C. Chapter 3: Genetic Algorithms School of Mathematical and Information Sciences, Coventry University
  8. Deb , K. , Pratap , A. , Agarwal , S. , and Meyarivan , T. A Fast and Elitist Multiobjective Genetic Algorithm: NSGA-II IEEE Transactions of Evolutionary Computation 6 2 2002
  9. Fortin , F-A. , and Parizeau , M. Revisiting the NSGA-II Crowding-Distance Computation ACM 978-1-4503-1963 2013

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