Evolving Neural Networks with Collaborativespecies

  title={Evolving Neural Networks with Collaborativespecies},
  author={Mitchell A. Potter and Kenneth A. De and JongNavy},
We present a coevolutionary architecture for solving decomposable problems and apply it to the evolution of artificial neural networks. Although this work is preliminary in nature it has a number of advantages over non-coevolutionary approaches. The coevolutionary approach utilizes a divide-and-conquer technique in which species representing simpler subtasks are evolved in separate instances of a genetic algorithm executing in parallel. Collaborations among the species are formed representing… CONTINUE READING

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Learn - ing disjunctive concepts by means of genetic algorithms

  • W. Cohen, H. Hirsh
  • Proceed - ings of the Eleventh International…
  • 1994

Combinations of genetic algorithms and neural networks : A survey of the state of the art

  • J. Schaffer, D. Whitley, L. Eshelman
  • COGANN - 92 International Workshop on…
  • 1992

Genetic cascade learning for neural networks

  • N. Karunanithi, R. Das
  • COGANN - 92 International Workshop on…
  • 1992

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