Is The Perfect The Enemy Of The Good?

@inproceedings{Luke2002IsTP,
  title={Is The Perfect The Enemy Of The Good?},
  author={Sean Luke and Liviu Panait},
  booktitle={GECCO},
  year={2002}
}
Much of the genetic programming literature compares techniques using counts of ideal solutions found. These counts in turn form common comparison measures such as Koza's Computational Effort or Cumulative Probability of Success. The use of these measures continues despite past warnings that they are not statistically valid. In this paper we too criticize the measures for serious statistical problems, and also argue that their motivational justification is faulty. We then present evidence… CONTINUE READING

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