Balancing Accuracy and Parsimony in Genetic Programming

@article{Zhang1995BalancingAA,
  title={Balancing Accuracy and Parsimony in Genetic Programming},
  author={Byoung-Tak Zhang and Heinz M{\"u}hlenbein},
  journal={Evolutionary Computation},
  year={1995},
  volume={3},
  pages={17-38}
}
Genetic programming is distinguished from other evolutionary algorithms in that it uses tree representations of variable size instead of linear strings of fixed length. The flexible representation scheme is very important because it allows the underlying structure of the data to be discovered automatically. One primary difficulty, however, is that the solutions may grow too big without any improvement of their generalization ability. In this article we investigate the fundamental relationship… CONTINUE READING

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References

Publications referenced by this paper.
Showing 1-10 of 39 references

Advances in geneticprogvamming

Kinnear, K. E. Ed
1994

E ects of Occam ' s razor in evolving sigmapi neural networks

Y. Davidor, H.-P. Schwefel
1994

Fitness Landscapes and Difficulty in Genetic Programming

International Conference on Evolutionary Computation • 1994

UCZrepository ofmachine learning databases. [Electronic database

M P., D. W. Aha
1994

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