Chapter 1 Novelty-based Multiobjectivization

@inproceedings{Mouret2017Chapter1N,
  title={Chapter 1 Novelty-based Multiobjectivization},
  author={Jean-Baptiste Mouret},
  year={2017}
}
Novelty search is a recent and promising approach to evolve neurocontrollers, especially to drive robots. The main idea is to maximize the novelty of behaviors instead of the efficiency. However, abandoning the efficiency objective(s) may be too radical in many contexts. In this paper, a Paretobased multi-objective evolutionary algorithm is employed to reconcile novelty search with objective-based optimization by following a multiobjectivization process. Several multiobjectivizations based on… CONTINUE READING

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