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Handling bloat in GP

Author:

Sara SilvaAuthors Info & Claims

GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

Pages 2769 - 2794

https://doi.org/10.1145/1830761.1830918

Published: 07 July 2010 Publication History

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References

[1]

S. Dignum, R. Poli, Generalisation of the limiting distribution of program sizes in tree-based genetic programming and analysis of its effects on bloat. In Proceedings of GECCO-2007, ed. by D. Thierens et al. (ACM Press 2007), pp. 1588-1595.

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[2]

S. Dignum, R. Poli, Operator equalisation and bloat free GP. In Proceedings of EuroGP-2008, ed. By M. O'Neill et al. (Springer 2008), pp. 110-121.

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[3]

W.B. Langdon, R. Poli, Foundations of genetic programming (Springer 2002).

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R. Poli, W.B. Langdon, N.F. McPhee, A Field Guide to Genetic Programming. Published via http://lulu.com and freely available at http://www.gp-field-guide.org.uk, 2008. (With contributions by J. R. Koza).

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[5]

S. Silva, Controlling bloat: individual and population based approaches in genetic programming. PhD thesis, Departamento de Engenharia Informatica, Universidade de Coimbra (2008).

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[6]

S. Silva, S. Dignum, Extending operator equalisation: Fitness based self adaptive length distribution for bloat free GP. In Proceedings of EuroGP-2009, ed. by L. Vanneschi et al. (Springer 2009), pp. 159-170.

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S. Silva, L. Vanneschi, Operator equalisation, bloat and overfitting - a study on human oral bioavailability prediction. In Proceedings of GECCO-2009, ed. by F. Rothlauf et al. (ACM Press 2009), pp. 1115-1122.

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[8]

L. Vanneschi, M. Castelli, S. Silva, Measuring Bloat, Overfitting and Functional Complexity in Genetic Programming, to appear in GECCO-2010.

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Index Terms

Handling bloat in GP
1. Computing methodologies
  1. Artificial intelligence

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Genetic programming (GP) solves optimization problems by simulating the evolution procedure in nature. It has a serious problem termed as bloat, which can cost memory, hamper effective breeding and slow down the evolution process. However, there ...

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Published In

GECCO '10: Proceedings of the 12th annual conference companion on Genetic and evolutionary computation

July 2010

1496 pages

ISBN:9781450300735

DOI:10.1145/1830761

General Chair:
Martin Pelikan
University of Missouri, USA
,
Program Chair:
Jürgen Branke
University of Warwick, Coventry, UK

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 July 2010

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GECCO '10: Genetic and Evolutionary Computation Conference

July 7 - 11, 2010

Oregon, Portland, USA

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Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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Operator equalisation for bloat free genetic programming and a survey of bloat control methods

Bloat-aware GP-based methods with bloat quantification