A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Machine Learning - Special issue on genetic algorithms
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
The evolution of size and shape
Advances in genetic programming
Mining Very Large Databases with Parallel Processing
Mining Very Large Databases with Parallel Processing
Data Mining Using Grammar-Based Genetic Programming and Applications
Data Mining Using Grammar-Based Genetic Programming and Applications
A Fuzzy Beam-Search Rule Induction Algorithm
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
Generating Linguistic Fuzzy Rules for Pattern Classification with Genetic Algorithms
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
Simplifying decision trees: A survey
The Knowledge Engineering Review
Strongly typed genetic programming
Evolutionary Computation
Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
Soft decision trees: A genetically optimized cluster oriented approach
Expert Systems with Applications: An International Journal
Induction machine fault detection using clone selection programming
Expert Systems with Applications: An International Journal
A hybrid evolutionary algorithm for attribute selection in data mining
Expert Systems with Applications: An International Journal
Two layered Genetic Programming for mixed-attribute data classification
Applied Soft Computing
Evolutionary generation of prototypes for a learning vector quantization classifier
EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Coevolution in cartesian genetic programming
EuroGP'12 Proceedings of the 15th European conference on Genetic Programming
Learning symbolic representations of hybrid dynamical systems
The Journal of Machine Learning Research
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In essence, data mining consists of extracting knowledge from data. This paper proposes a co-evolutionary system for discovering fuzzy classification rules. The system uses two evolutionary algorithms: a genetic programming (GP) algorithm evolving a population of fuzzy rule sets and a simple evolutionary algorithm evolving a population of membership function definitions. The two populations co-evolve, so that the final result of the co-evolutionary process is a fuzzy rule set and a set of membership function definitions which are well adapted to each other. In addition, our system also has some innovative ideas with respect to the encoding of GP individuals representing rule sets. The basic idea is that our individual encoding scheme incorporates several syntactical restrictions that facilitate the handling of rule sets in disjunctive normal form. We have also adapted GP operators to better work with the proposed individual encoding scheme.