Influence of the Migration Policy in Parallel Distributed GAs with Structured and Panmictic Populations

@article{Alba2000InfluenceOT,
  title={Influence of the Migration Policy in Parallel Distributed GAs with Structured and Panmictic Populations},
  author={Enrique Alba and Jos{\'e} M. Troya},
  journal={Applied Intelligence},
  year={2000},
  volume={12},
  pages={163-181}
}
Parallel genetic algorithms (PGAs) have been traditionally used to overcome the intense use of CPU and memory that serial GAs show in complex problems. Non-parallel GAs can be classified into two classes: panmictic and structured-population algorithms. The difference lies in whether any individual in the population can mate with any other one or not. In this work, they are both considered as two reproductive loop types executed in the islands of a parallel distributed GA. Our aim is to extend… CONTINUE READING
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