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Neuro-Genetic Design Optimization Framework to Support the Integrated Robust Design Optimization Process in CE
2 references·2 citing·15 second hop
Neuro-Genetic Design Optimization Framework to Support the Integrated Robust Design Optimization Process in CE (2006)Neuro-Genetic Design Optimization Framewo…Introduction to Quality Engineering (2008)Introduction to Quality Engin…How to reduce new product development time (2003)How to reduce new product dev…A new hybrid approach for reliability-based design optimization of structural components (2019)A new hybrid approach for rel…Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments (2009)Neuro-genetic approach to opt…Factors impacting the innovative capacity in large-scale companies (2005)Virtual Teams: A Literature Review (2009)Entrepreneurial orientation and performance: the interaction effect of customer capital (2013)Organizational Theory and Design (2014)Modified Desirability Functions for Multiple Response Optimization (1996)Taguchi Methods for Robust Design (2000)A review of robust optimal design and its application in dynamics (2004)A novel approach for optimization of correlated multiple responses based on desirability function and fuzzy logics (2012)A New Study on Reliability-Based Design Optimization (1999)Hybrid Analysis Method for Reliability-Based Design Optimization (2003)Sequential Optimization and Reliability Assessment Method for Efficient Probabilistic Design (2004)Reliability optimization design method based on multi-level surrogate model (2020)Defining Quality (1993)Response Surface Methodology: A Retrospective and Literature Survey (2004)Computational methods in optimization considering uncertainties – An overview (2008)
this work references cited by second hop

References

  • 2008Introduction to Quality Engineering1,500 cited
  • 2003How to reduce new product development time98 cited

Cited by

  • 2019A new hybrid approach for reliability-based design optimization of structural components81 cited
  • 2009Neuro-genetic approach to optimize parameter design of dynamic multiresponse experiments43 cited

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