Asynchronous Strategy of Parallel Hybrid Approach of GA and EDA for Function Optimization

@article{Said2012AsynchronousSO,
  title={Asynchronous Strategy of Parallel Hybrid Approach of GA and EDA for Function Optimization},
  author={Said M. Said and Morikazu Nakamura},
  journal={2012 Third International Conference on Networking and Computing},
  year={2012},
  pages={420-428}
}
This paper adapts parallel master-slave estimation of distribution and genetic algorithms (GAs and EDAs) hybridization. The master selects portions of the search space, and slaves perform, in parallel and independently, a GA that solves the problem on the assigned portion of the search space. The master's work is to progressively narrow the areas explored by the slave's GAs, using parallel dynamic K-means clustering to determine the basins of attraction of the search space. Coordination of… CONTINUE READING

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