Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements to new generations. Using two GP systems and four problems, we show how elitism reduces the growth of mean program size.

Poli, R., Mcphee, F., Vanneschi, L. (2008). Elitism reduces bloat in genetic programming. In GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008 (pp.1343-1344). New York, NY : ACM Press [10.1145/1389095.1389355].

Elitism reduces bloat in genetic programming

VANNESCHI, LEONARDO
2008

Abstract

Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements to new generations. Using two GP systems and four problems, we show how elitism reduces the growth of mean program size.
paper
elitism, reduces, bloat, genetic, programming
English
10th Annual Genetic and Evolutionary Computation Conference, GECCO 2008
2008
GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008
9781605581309
2008
1343
1344
none
Poli, R., Mcphee, F., Vanneschi, L. (2008). Elitism reduces bloat in genetic programming. In GECCO'08: Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation 2008 (pp.1343-1344). New York, NY : ACM Press [10.1145/1389095.1389355].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/13555
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