Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic Algorithms for Machine Learning
Genetic Algorithms for Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Incremental Learning with Respect to New Incoming Input Attributes
Neural Processing Letters
Learning with Genetic Algorithms: An Overview
Machine Learning
Machine Learning
Incremental Learning of Bayesian Networks with Hidden Variables
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
Optimal Ordered Problem Solver
Machine Learning
Learn++: an incremental learning algorithm for supervised neuralnetworks
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Class decomposition for GA-based classifier agents - a Pitt approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GA-fuzzy modeling and classification: complexity and performance
IEEE Transactions on Fuzzy Systems
Incremental backpropagation learning networks
IEEE Transactions on Neural Networks
Incremental learning methods with retrieving of interfered patterns
IEEE Transactions on Neural Networks
Efficient classification for multiclass problems using modular neural networks
IEEE Transactions on Neural Networks
Rule induction based on an incremental rough set
Expert Systems with Applications: An International Journal
Multi-objective GA rule extraction in a parallel framework
Proceedings of the 15th WSEAS international conference on Computers
Recursive and incremental learning GA featuring problem-dependent rule-set
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Entropic feature discrimination ability for pattern classification based on neural IAL
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
Recursive Learning of Genetic Algorithms with Task Decomposition and Varied Rule Set
International Journal of Applied Evolutionary Computation
Incremental Hyperplane Partitioning for Classification
International Journal of Applied Evolutionary Computation
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This paper proposes ordered incremental genetic algorithms (OIGAs) to address the incremental training of input attributes for GA-based classifiers. Rather than learning attributes in batch as with normal GAs, OIGAs learn attributes one after another. Attributes are first arranged in different orders by evaluating their individual discriminating ability. Classification rule sets are then evolved incrementally to accommodate attributes continuously. By experimenting with different attribute orders, different approaches of OIGAs are evaluated using benchmark classification data sets. The simulation results show that OIGAs can achieve generally better performance than normal GAs, and OIGAs perform the best when training with a descending order of attributes.