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Optimisation of electromagnetic devices with uncertain parameters and tolerances in the design variables
2 references·1 citing·13 second hop
Optimisation of electromagnetic devices with uncertain parameters and tolerances in the design variables (2001)Optimisation of electromagnetic devices w…Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis (1998)Antioptimization of structure…Anti-optimization technique for structural design under load uncertainties (1998)Anti-optimization technique f…Application of stochastic simulation in the optimisation process of hydroelectric generators (2003)Application of stochastic sim…Convex Models of Uncertainty in Applied Mechanics (1990)Comparison of dynamic response of structures with uncertain-but-bounded parameters using non-probabilistic interval analysis method and probabilistic approach (2003)A survey of non-probabilistic uncertainty treatment in finite element analysis (2004)Interval Monte Carlo methods for structural reliability (2010)A non-probabilistic concept of reliability (1994)Structural design under bounded uncertainty—Optimization with anti-optimization (1994)Essay on uncertainties in elastic and viscoelastic structures: From A. M. Freudenthal's criticisms to modern convex modeling (1995)Confidence structural robust design and optimization under stiffness and load uncertainties (2009)An importance learning method for non-probabilistic reliability analysis and optimization (2018)Discussions on non-probabilistic convex modelling for uncertain problems (2018)Stochastic multidisciplinary improvement - Beyond optimization (2000)Dealing with Uncertainties and Variations in Thermal Design (2001)Design and Analysis of Experiments, 5th Ed. (2001)
this work references cited by second hop

References

  • 1998Antioptimization of structures with large uncertain-but-non-random parameters via interval analysis420 cited
  • 1998Anti-optimization technique for structural design under load uncertainties133 cited

Cited by

  • 2003Application of stochastic simulation in the optimisation process of hydroelectric generators6 cited

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