Hybrid genetic algorithms for feature selection

@article{Oh2004HybridGA,
  title={Hybrid genetic algorithms for feature selection},
  author={Il-Seok Oh and Jin-Seon Lee and Byung Ro Moon},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2004},
  volume={26},
  pages={1424-1437}
}
This paper proposes a novel hybrid genetic algorithm for feature selection. Local search operations are devised and embedded in hybrid GAs to fine-tune the search. The operations are parameterized in terms of their fine-tuning power, and their effectiveness and timing requirements are analyzed and compared. The hybridization technique produces two desirable… CONTINUE READING