Corpus ID: 18875600

Searching for the impossible using genetic programming

@inproceedings{Koza1999SearchingFT,
  title={Searching for the impossible using genetic programming},
  author={J. Koza and M. Keane and F. H. Bennett and Jessen Yu and W. Mydlowec and O. Stiffelman},
  year={1999}
}
Many potential inventions are never discovered because the thought processes of scientists and engineers are channeled along well-traveled paths. In contrast, the evolutionary process tends to opportunistically solve problems without considering whether the evolved solution comports with human preconceptions about whether the goal is impossible. This paper demonstrates how genetic programming can be used to automate the process of exploring queries, conjectures, and challenges concerning the… Expand
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  • J. Koza
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  • Genetic Programming and Evolvable Machines
  • 2010
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Design of single-electron systems through artificial evolution.
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