Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Foundations of genetic programming
Foundations of genetic programming
Evolving Teams of Predictors with Linear Genetic Programming
Genetic Programming and Evolvable Machines
Results of the KDD'99 classifier learning
ACM SIGKDD Explorations Newsletter
Ideal Evaluation from Coevolution
Evolutionary Computation
MOGE: GP classification problem decomposition using multi-objective optimization
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Linear Genetic Programming (Genetic and Evolutionary Computation)
Linear Genetic Programming (Genetic and Evolutionary Computation)
Classifier fitness based on accuracy
Evolutionary Computation
Training binary GP classifiers efficiently: a Pareto-coevolutionary approach
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
Managing team-based problem solving with symbiotic bid-based genetic programming
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Coevolutionary bid-based genetic programming for problem decomposition in classification
Genetic Programming and Evolvable Machines
Genetic Programming and Evolvable Machines
Review: The use of computational intelligence in intrusion detection systems: A review
Applied Soft Computing
GP classification under imbalanced data sets: active sub-sampling and AUC approximation
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Cooperative problem decomposition in Pareto competitive classifier models of coevolution
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Classification as clustering: A pareto cooperative-competitive gp approach
Evolutionary Computation
Two layered Genetic Programming for mixed-attribute data classification
Applied Soft Computing
Hierarchical task decomposition through symbiosis in reinforcement learning
Proceedings of the 14th annual conference on Genetic and evolutionary computation
GP under streaming data constraints: a case for pareto archiving?
Proceedings of the 14th annual conference on Genetic and evolutionary computation
On GPU based fitness evaluation with decoupled training partition cardinality
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Benchmarking pareto archiving heuristics in the presence of concept drift: diversity versus age
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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A bid-based approach for coevolving Genetic Programming classifiers is presented. The approach coevolves a population of learners thatdecompose the instance space by way of their aggregate bidding behaviour. To reduce computation overhead, a small, relevant, subsetof training exemplars is (competitively) coevolved alongside the learners. The approach solves multi-class problems using a single population and is evaluated on three large datasets. It is found tobe competitive, especially compared to classifier systems, whilesignificantly reducing the computation overhead associated withtraining.