EnviGP - Improving Genetic Programming for the Environment and Other Applications
Description
Genetic Programming (GP) is the youngest paradigm inside the artificial intelligence research area called evolutionary computation, and consists on the automated learning of computer programs. GP often yields results that are not merely academically interesting, but competitive with the work developed by humans. However, because it is a young and complex paradigm, the practical use of GP still poses a few challenges. In this project we will develop and test new approaches to the bloat and overfitting problems in GP, while studying the relationship between the two, and adapt GP for improved efficiency in multiclass classification problems. The achievement of these goals will ultimately produce a powerful general-purpose tool that can be used by practitioners of many diverse areas of research.
Researchers
Funded by
FCT
Partners
INESC-ID, FCTUC, IICT, University of Milano-Bicocca
Start Date
2010-04-16
End Date
2013-10-15
Journal Articles
2013
(1 publication) 2012
(2 publications) - Sara Silva and Vanneschi, L. , "Bloat Free Genetic Programming: Application to Human Oral Bioavailability Prediction", International Journal of Data Mining and Bioinformatics, vol. 6, pp. 585-601, 2012
- Sara Silva and Dignum, S. and Vanneschi, L. , "Operator equalisation for bloat free genetic programming and a survey of bloat control methods", Genetic Programming and Evolvable Machines, vol. 13, pp. 197-238, 2012
2011
(1 publication) Conference Articles
2013
(3 publications) - Ivo Gonçalves and Sara Silva , "Balancing Learning and Overfitting in Genetic Programming with Interleaved Sampling of Training Data", in 16th European Conference on Genetic Programming (EuroGP 2013), 2013
- Sara Silva and Ingalalli, V. and Vinga, S. and Carreiras, J.M.B. and Melo, J. and Castelli, M. and Vanneschi, L. and Ivo Gonçalves and Caldas, J. , "Prediction of Forest Aboveground Biomass: An Exercise on Avoiding Overfitting", in EvoApplications, 2013
- Vanneschi, L. and Castelli, M. and Manzoni, L. and Sara Silva , "A New Implementation of Geometric Semantic GP and its Application to Problems in Pharmacokinetics", in EuroGP-2013, 2013
2012
(1 publication) 2011
(6 publications) - Ivo Gonçalves and Sara Silva , "Experiments on Controlling Overfitting in Genetic Programming", in Local proceedings of the 15th Portuguese Conference on Artificial Intelligence (EPIA 2011), 2011
- Moraglio, A. and Sara Silva , "Geometric Nelder-Mead Algorithm on the Space of Genetic Programs", in Genetic and Evolutionary Computation Conference, 2011
- Sara Silva , "Handling Bloat in GP, 2nd edition", in Genetic and Evolutionary Computation Conference Tutorials, 2011
- Sara Silva , "Reassembling Operator Equalisation - A Secret Revealed", in Genetic and Evolutionary Computation Conference, 2011
- Sara Silva and Anunciação, O. and Lotz, M. , "A Comparison of Machine Learning Methods for the Prediction of Breast Cancer", in European Conference on Evolutionary Computation, Machine Learning and Data Mining in Computational Biology, 2011
- Trujillo, L. and Sara Silva and Legrand, P. and Vanneschi, L. , "An empirical study of functional complexity as an indicator of overfitting in Genetic Programming", in European Conference on Genetic Programming, 2011
2010
(6 publications) - Moraglio, A. and Sara Silva , "Geometric Differential Evolution on the Space of Genetic Programs", in 13th European Conference on Genetic Programming (EuroGP-2010), 2010
- Sara Silva and Vanneschi, L. , "State-of-the-art Genetic Programming for Predicting Human Oral Bioavailability of Drugs", in 4th International Workshop on Practical Applications of Computational Biology & Bioinformatics (IWPACBB), 2010
- Sara Silva and Vasconcelos, M. and Melo, J. , "Bloat Free Genetic Programming versus Classification Trees for Identification of Burned Areas in Satelitte Imagery", in EvoApplications 2010 (EvoIASP-2010), 2010
- Lotz, M. and Sara Silva , "Application of Genetic Programming Classification in an Industrial Process Resulting in Greenhouse Gas Emission Reductions", in EvoApplications 2010 (EvoEnvironment-2010), 2010
- Vanneschi, L. and Castelli, M. and Sara Silva , "Measuring Bloat, Overfitting and Functional Complexity in Genetic Programming", in 2010 Genetic and Evolutionary Computation Conference (GECCO 2010), 2010
- Castelli, M. and Manzoni, L. and Sara Silva and Vanneschi, L. , "A Comparison of the Generalization Ability of Different Genetic Programming Frameworks", in IEEE Congress on Evolutionary Computation 2010, 2010
Book Chapters