Genetic parallel programming: design and implementation
Evolutionary Computation
Optimization study with ligand-design interval rules
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Automatic Generation of Cognitive Theories using Genetic Programming
Minds and Machines
Classifier design with feature selection and feature extraction using layered genetic programming
Expert Systems with Applications: An International Journal
Connection Science - Evolutionary Learning and Optimisation
A GP Based Approach to the Classification of Multiclass Microarray Datasets
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Particle swarm optimized multiple regression linear model for data classification
Applied Soft Computing
A generic multi-dimensional feature extraction method using multiobjective genetic programming
Evolutionary Computation
Induction machine fault detection using clone selection programming
Expert Systems with Applications: An International Journal
Multiple instance learning with genetic programming for web mining
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
A survey on the application of genetic programming to classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fitness functions in genetic programming for classification with unbalanced data
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
A generic optimising feature extraction method using multiobjective genetic programming
Applied Soft Computing
Automatic induction of projection pursuit indices
IEEE Transactions on Neural Networks
G3P-MI: A genetic programming algorithm for multiple instance learning
Information Sciences: an International Journal
Genetic-programming based prediction of data compression saving
EA'09 Proceedings of the 9th international conference on Artificial evolution
CLONAL-GP framework for artificial immune system inspired genetic programming for classification
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part I
Semi-supervised genetic programming for classification
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Drawing boundaries: using individual evolved class boundaries for binary classification problems
Proceedings of the 13th annual conference on Genetic and evolutionary computation
DepthLimited crossover in GP for classifier evolution
Computers in Human Behavior
Evolution of human-competitive lossless compression algorithms with GP-zip2
Genetic Programming and Evolvable Machines
Two layered Genetic Programming for mixed-attribute data classification
Applied Soft Computing
A novel genetic programming based approach for classification problems
ICIAP'05 Proceedings of the 13th international conference on Image Analysis and Processing
Looking for prototypes by genetic programming
IWICPAS'06 Proceedings of the 2006 Advances in Machine Vision, Image Processing, and Pattern Analysis international conference on Intelligent Computing in Pattern Analysis/Synthesis
Unsupervised problem decomposition using genetic programming
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
GP-Fileprints: file types detection using genetic programming
EuroGP'10 Proceedings of the 13th European conference on Genetic Programming
Lazy learning for multi-class classification using genetic programming
ICIC'11 Proceedings of the 7th international conference on Advanced Intelligent Computing Theories and Applications: with aspects of artificial intelligence
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Human action recognition from multi-sensor stream data by genetic programming
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Learning symbolic representations of hybrid dynamical systems
The Journal of Machine Learning Research
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We propose a new approach for designing classifiers for a c-class (c≥2) problem using genetic programming (GP). The proposed approach takes an integrated view of all classes when the GP evolves. A multitree representation of chromosomes is used. In this context, we propose a modified crossover operation and a new mutation operation that reduces the destructive nature of conventional genetic operations. We use a new concept of unfitness of a tree to select trees for genetic operations. This gives more opportunity to unfit trees to become fit. A new concept of OR-ing chromosomes in the terminal population is introduced, which enables us to get a classifier with better performance. Finally, a weight-based scheme and some heuristic rules characterizing typical ambiguous situations are used for conflict resolution. The classifier is capable of saying "don't know" when faced with unfamiliar examples. The effectiveness of our scheme is demonstrated on several real data sets.