Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression

@article{Takahama2013EfficientCO,
  title={Efficient constrained optimization by the ε constrained differential evolution with rough approximation using kernel regression},
  author={Tetsuyuki Takahama and Setsuko Sakai},
  journal={2013 IEEE Congress on Evolutionary Computation},
  year={2013},
  pages={1334-1341}
}
We have proposed to utilize a rough approximation model, which is an approximation model with low accuracy and without learning process, to reduce the number of function evaluations in unconstrained optimization. Although the approximation errors between the true function values and the approximation values estimated by the rough approximation model are not small, the rough model can estimate the order relation of two points with fair accuracy. In order to use this nature of the rough model, we… CONTINUE READING
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