Self-Learning Gene Expression Programming

@article{Zhong2016SelfLearningGE,
  title={Self-Learning Gene Expression Programming},
  author={Jinghui Zhong and Yew-Soon Ong and Wentong Cai},
  journal={IEEE Transactions on Evolutionary Computation},
  year={2016},
  volume={20},
  pages={65-80}
}
In this paper, a novel self-learning gene expression programming (GEP) methodology named SL-GEP is proposed to improve the search accuracy and efficiency of GEP. In contrast to the existing GEP variants, the proposed SL-GEP features a novel chromosome representation in which each chromosome is embedded with subfunctions that can be deployed to construct the final solution. As part of the chromosome, the subfunctions are self-learned or self-evolved by the proposed algorithm during the… CONTINUE READING
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