Efficient global optimization (EGO) for multi-objective problem and data mining

@article{Jeong2005EfficientGO,
  title={Efficient global optimization (EGO) for multi-objective problem and data mining},
  author={Shinkyu Jeong and Shigeru Obayashi},
  journal={2005 IEEE Congress on Evolutionary Computation},
  year={2005},
  volume={3},
  pages={2138-2145 Vol. 3}
}
In this study, a surrogate model is applied to multi-objective aerodynamic optimization design. For the balanced exploration and exploitation with the surrogate model, objective functions are converted to the Expected Improvements (EI) and these values are directly used as fitness values in the multi-objective optimization. Among the non-dominated solutions… CONTINUE READING