Genetic Algorithms and Machine Learning

@article{Goldberg2005GeneticAA,
  title={Genetic Algorithms and Machine Learning},
  author={David E. Goldberg and John H. Holland},
  journal={Machine Learning},
  year={2005},
  volume={3},
  pages={95-99}
}
There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined algorithms, data structures, and theories of learning, without once referring to organisms, cognitive or genetic structures, and psychological or evolutionary theories. Yet at the end of the day, with the position papers written, the computers plugged in, and the programs debugged, a learning edifice devoid of natural metaphor would lack something. It would ignore the fact… CONTINUE READING
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