Distributed island-model genetic algorithms using heterogeneous parameter settings

@article{Gong2011DistributedIG,
  title={Distributed island-model genetic algorithms using heterogeneous parameter settings},
  author={Yiyuan Gong and Alex S. Fukunaga},
  journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
  year={2011},
  pages={820-827}
}
Achieving good performance with a parallel genetic algorithm requires properly configuring control parameters such as mutation rate, crossover rate, and population size. We consider the problem of setting control parameter values in a standard, island-model distributed genetic algorithm. As an alternative to tuning parameters by hand or using a self-adaptive approach, we propose a very simple strategy which statically assigns random control parameter values to each processor. Experiments on… CONTINUE READING
Highly Cited
This paper has 31 citations. REVIEW CITATIONS