Large Scale Global Optimization using Differential Evolution with self-adaptation and cooperative co-evolution

@article{Zamuda2008LargeSG,
  title={Large Scale Global Optimization using Differential Evolution with self-adaptation and cooperative co-evolution},
  author={Ales Zamuda and Janez Brest and Borko Boskovic and Viljem Zumer},
  journal={2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)},
  year={2008},
  pages={3718-3725}
}
In this paper, an optimization algorithm is formulated and its performance assessment for large scale global optimization is presented. The proposed algorithm is named DEwSAcc and is based on Differential Evolution (DE) algorithm, which is a floating-point encoding evolutionary algorithm for global optimization over continuous spaces. The original DE is extended by log-normal self-adaptation of its control parameters and combined with cooperative co-evolution as a dimension decomposition… CONTINUE READING

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