Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Genetic programming using a minimum description length principle
Advances in genetic programming
Machine Learning
The Role of Occam‘s Razor in Knowledge Discovery
Data Mining and Knowledge Discovery
Size Fair and Homologous Tree Crossovers for Tree Genetic Programming
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Evolving Teams of Predictors with Linear Genetic Programming
Genetic Programming and Evolvable Machines
Some Considerations on the Reason for Bloat
Genetic Programming and Evolvable Machines
Complexity Compression and Evolution
Proceedings of the 6th International Conference on Genetic Algorithms
Lexicographic Parsimony Pressure
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Open BEAGLE: A New C++ Evolutionary Computation Framework
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Problem Difficulty and Code Growth in Genetic Programming
Genetic Programming and Evolvable Machines
Balancing accuracy and parsimony in genetic programming
Evolutionary Computation
Effects of code growth and parsimony pressure on populations in genetic programming
Evolutionary Computation
Generality versus size in genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
Methods for evolving robust programs
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Dynamic maximum tree depth: a simple technique for avoiding bloat in tree-based GP
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Generalisation and model selection in supervised learning with evolutionary computation
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Genetic programming and evolutionary generalization
IEEE Transactions on Evolutionary Computation
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Proceedings of the 9th annual conference on Genetic and evolutionary computation
The Generalisation Ability of a Selection Architecture for Genetic Programming
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
Using crossover based similarity measure to improve genetic programming generalization ability
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
A survey and taxonomy of performance improvement of canonical genetic programming
Knowledge and Information Systems
Parsimony doesn't mean simplicity: genetic programming for inductive inference on noisy data
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Theoretical results in genetic programming: the next ten years?
Genetic Programming and Evolvable Machines
Open issues in genetic programming
Genetic Programming and Evolvable Machines
The role of syntactic and semantic locality of crossover in genetic programming
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
How to promote generalisation in evolutionary robotics: the ProGAb approach
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Overfitting detection and adaptive covariant parsimony pressure for symbolic regression
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
A quantitative study of learning and generalization in genetic programming
EuroGP'11 Proceedings of the 14th European conference on Genetic programming
Validation sets for evolutionary curtailment with improved generalisation
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Improving the generalisation ability of genetic programming with semantic similarity based crossover
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Evolving interpolating models of net ecosystem CO2 exchange using grammatical evolution
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Random sampling technique for overfitting control in genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Where should we stop? an investigation on early stopping for GP learning
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
A bootstrapping approach to reduce over-fitting in genetic programming
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited number of samples. This paper is an investigation on two methods to improve generalization in GP-based learning: 1) the selection of the best-of-run individuals using a three data sets methodology, and 2) the application of parsimony pressure in order to reduce the complexity of the solutions. Results using GP in a binary classification setup show that while the accuracy on the test sets is preserved, with less variances compared to baseline results, the mean tree size obtained with the tested methods is significantly reduced.