Hierarchical Distributed Genetic Algorithms Hierarchical Distributed Genetic Algorithms

@inproceedings{Lozano1997HierarchicalDG,
  title={Hierarchical Distributed Genetic Algorithms Hierarchical Distributed Genetic Algorithms},
  author={Manuel Lozano and Claudio Moraga},
  year={1997}
}
Genetic algorithm behavior is determined by the exploration/exploitation balance kept throughout the run. When this balance is disproportionate, the premature convergence problem will probably appear, causing a drop in the genetic algorithm's eecacy. One approach presented for dealing with this problem is the distributed genetic algorithm model. Its basic idea is to keep, in parallel, several subpopulations that are processed by genetic algorithms, with each one being independent from the… CONTINUE READING