Critical factors in the performance of novelty search

@inproceedings{Kistemaker2010CriticalFI,
  title={Critical factors in the performance of novelty search},
  author={Steijn Kistemaker and Shimon Whiteson},
  booktitle={GECCO},
  year={2010}
}
Novelty search is a recently proposed method for evolutionary computation designed to avoid the problem of deception, in which the fitness function guides the search process away from global optima. Novelty search replaces fitness-based selection with novelty-based selection, where novelty is measured by comparing an individual's behavior to that of the current population and an archive of past novel individuals. Though there is substantial evidence that novelty search can overcome the problem… CONTINUE READING

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