Evolutionary approaches to fuzzy modelling for classification
The Knowledge Engineering Review
Diversification for better classification trees
Computers and Operations Research
Improving cooperative GP ensemble with clustering and pruning for pattern classification
Proceedings of the 8th annual conference on Genetic and evolutionary computation
A cooperative constructive method for neural networks for pattern recognition
Pattern Recognition
Information Sciences: an International Journal
Classifier Ensembles with a Random Linear Oracle
IEEE Transactions on Knowledge and Data Engineering
Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection
Information Security Tech. Report
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
Evolutionary Induction of Decision Trees for Misclassification Cost Minimization
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I
An Evolutionary RBFNN Learning Algorithm for Complex Classzification Problems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Global Induction of Decision Trees: From Parallel Implementation to Distributed Evolution
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Entropy-based associative classification algorithm for mining manufacturing data
International Journal of Computer Integrated Manufacturing
Environmental robustness in multi-agent teams
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Real boosting a la carte with an application to boosting oblique decision trees
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Group search optimizer: an optimization algorithm inspired by animal searching behavior
IEEE Transactions on Evolutionary Computation
Mining distributed evolving data streams using fractal GP ensembles
EuroGP'07 Proceedings of the 10th European conference on Genetic programming
A cooperative coevolution algorithm of RBFNN for classification
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
A memetic algorithm for global induction of decision trees
SOFSEM'08 Proceedings of the 34th conference on Current trends in theory and practice of computer science
Training time and team composition robustness in evolved multi-agent systems
EuroGP'08 Proceedings of the 11th European conference on Genetic programming
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Expert Systems with Applications: An International Journal
IEEE Transactions on Evolutionary Computation
Pareto-optimality of oblique decision trees from evolutionary algorithms
Journal of Global Optimization
A hybrid particle swarm optimization and its application in neural networks
Expert Systems with Applications: An International Journal
A Bayesian approach for combining ensembles of GP classifiers
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Induction of linear decision trees with real-coded genetic algorithms and k-d trees
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
Mixed decision trees: an evolutionary approach
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Inducing diverse decision forests with genetic programming
EuroGP'05 Proceedings of the 8th European conference on Genetic Programming
A group search optimizer for neural network training
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Evolutionary learning of linear trees with embedded feature selection
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Differential evolution and perceptron decision trees for classification tasks
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
Pruning GP-Based classifier ensembles by bayesian networks
PPSN'12 Proceedings of the 12th international conference on Parallel Problem Solving from Nature - Volume Part I
Artificial neural network training using a new efficient optimization algorithm
Applied Soft Computing
Expert Systems with Applications: An International Journal
Using Bayesian networks for selecting classifiers in GP ensembles
Information Sciences: an International Journal
Information Sciences: an International Journal
CHIRA---Convex Hull Based Iterative Algorithm of Rules Aggregation
Fundamenta Informaticae
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This paper illustrates the application of evolutionary algorithms (EAs) to the problem of oblique decision-tree (DT) induction. The objectives are to demonstrate that EAs can find classifiers whose accuracy is competitive with other oblique tree construction methods, and that, at least in some cases, this can be accomplished in a shorter time. We performed experiments with a (1+1) evolution strategy and a simple genetic algorithm on public domain and artificial data sets, and compared the results with three other oblique and one axis-parallel DT algorithms. The empirical results suggest that the EAs quickly find competitive classifiers, and that EAs scale up better than traditional methods to the dimensionality of the domain and the number of instances used in training. In addition, we show that the classification accuracy improves when the trees obtained with the EAs are combined in ensembles, and that sometimes it is possible to build the ensemble of evolutionary trees in less time than a single traditional oblique tree.