Sara Silva
- 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. Google Scholar
Digital Library
- 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. Google ScholarDigital Library
- W.B. Langdon, R. Poli, Foundations of genetic programming (Springer 2002). Google ScholarDigital Library
- 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). Google ScholarDigital Library
- S. Silva, Controlling bloat: individual and population based approaches in genetic programming. PhD thesis, Departamento de Engenharia Informatica, Universidade de Coimbra (2008).Google Scholar
- 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. Google ScholarDigital Library
- 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. Google ScholarDigital Library
- L. Vanneschi, M. Castelli, S. Silva, Measuring Bloat, Overfitting and Functional Complexity in Genetic Programming, to appear in GECCO-2010. Google ScholarDigital Library
Index Terms
- Handling bloat in GP
Recommendations
Operator equalisation and bloat free GP
EuroGP'08: Proceedings of the 11th European conference on Genetic programmingResearch has shown that beyond a certain minimum program length the distributions of program functionality and fitness converge to a limit. Before that limit, however, there may be program-length classes with a higher or lower average fitness than that ...
Operator equalisation for bloat free genetic programming and a survey of bloat control methods
Bloat can be defined as an excess of code growth without a corresponding improvement in fitness. This problem has been one of the most intensively studied subjects since the beginnings of Genetic Programming. This paper begins by briefly reviewing the ...
Bloat-aware GP-based methods with bloat quantification
AbstractGenetic 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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