Towards Surrogate Assisted Estimation of Distribution Algorithms

@inproceedings{dny2012TowardsSA,
  title={Towards Surrogate Assisted Estimation of Distribution Algorithms},
  author={dny and Martin Pil{\'a}t},
  year={2012}
}
Estimation of distribution algorithms (EDAs) have become promising kinds of evolutionary algorithms. They are based on sampling an estimated distribution of the better of the solutions from the last generation – iteration of the algorithm. Learning the distribution and sampling is used instead of reproduction common in traditional evolutionary algorithms… CONTINUE READING