Multiobjective genetic programming: reducing bloat using SPEA2
This study investigates the use of multiobjective techniques in genetic programming (GP) in order to evolve compact programs and to reduce the effects caused by bloating. The proposed approach considers the program size as a second, independent objective besides the program functionality. In combina...
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Published in | Proceedings of the 2001 Congress on Evolutionary Computation (IEEE Cat. No.01TH8546) Vol. 1; pp. 536 - 543 vol. 1 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
2001
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Subjects | |
Online Access | Get full text |
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Summary: | This study investigates the use of multiobjective techniques in genetic programming (GP) in order to evolve compact programs and to reduce the effects caused by bloating. The proposed approach considers the program size as a second, independent objective besides the program functionality. In combination with a multiobjective evolutionary technique, SPEA2, this method outperforms four other strategies to reduce bloat with regard to both convergence speed and size of the produced programs on an even-parity problem. |
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ISBN: | 0780366573 9780780366572 |
DOI: | 10.1109/CEC.2001.934438 |