Co-Evolving Intertwined Spirals
@inproceedings{Juill1996CoEvolvingIS, title={Co-Evolving Intertwined Spirals}, author={Hugues Juill{\'e} and J. Pollack}, booktitle={Evolutionary Programming}, year={1996} }
We recently solved the two spirals problem, a di cult neural network benchmark classi cation problem, using the genetic programming primitives set up by [Koza, 1992]. Instead of using absolute tness, we use a relative tness based on a competition for coverage of the data set. This is a form of co-evolutionary search because the tness function changes with the population. Because niches are opened by proportionate reproduction, rather than crowded out, and because of the crossover operator, we… CONTINUE READING
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References
SHOWING 1-6 OF 6 REFERENCES
Co-evolving parasites improve simulated evolution as an optimization procedure
- Mathematics, Computer Science
- 1990
- 1,149
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps
- Computer Science, Mathematics
- IEEE Trans. Neural Networks
- 1992
- 2,133
- PDF