Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings

@article{Wilson2007IntroducingPA,
  title={Introducing probabilistic adaptive mapping developmental genetic programming with redundant mappings},
  author={Garnett Carl Wilson and Malcolm I. Heywood},
  journal={Genetic Programming and Evolvable Machines},
  year={2007},
  volume={8},
  pages={187-220}
}
Developmental Genetic Programming (DGP) algorithms have explicitly required the search space for a problem to be divided into genotypes and corresponding phenotypes. The two search spaces are often connected with a genotype-phenotype mapping (GPM) intended to model the biological genetic code, where current implementations of this concept involve evolution of the mappings along with evolution of the genotype solutions. This work presents the Probabilistic Adaptive Mapping DGP (PAM DGP), a new… CONTINUE READING
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