Inproceedings,

Size Fair Tree Crossovers

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Proceedings of the Eleventh Belgium/Netherlands Conference on Artificial Intelligence (BNAIC'99), page 255--256. Kasteel Vaeshartelt, Maastricht, Holland, (3-4 November 1999)

Abstract

Size fair crossover genetic operator for tree based genetic programming is described and tested. It produces considerably reduced increases in program size and no detrimental effect on GP performance. GP search spaces are partitioned by the ridge in the number of program v. their size and depth. A ramped uniform random initialisation is described which straddles the ridge. With subtree crossover trees increase about one level per generation leading to sub-quadratic bloat in length.

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