A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization

@inproceedings{Azarm2008AKM,
  title={A Kriging Metamodel Assisted Multi-Objective Genetic Algorithm for Design Optimization},
  author={Shapour Azarm},
  year={2008}
}
The high computational cost of population based optimization methods, such as multiobjective genetic algorithms (MOGAs), has been preventing applications of these methods to realistic engineering design problems. The main challenge is to devise methods that can significantly reduce the number of simulation (objective/constraint functions) calls. We present a new multi-objective design optimization approach in which the Kriging-based metamodeling is embedded within a MOGA. The proposed approach… CONTINUE READING
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