Computer
Unsupervised Optimal Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fuzzy Prolog database system
A fuzzy Prolog database system
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
C4.5: programs for machine learning
C4.5: programs for machine learning
Using Genetic Algorithms for Concept Learning
Machine Learning - Special issue on genetic algorithms
A Knowledge-Intensive Genetic Algorithm for Supervised Learning
Machine Learning - Special issue on genetic algorithms
A hierarchical classifier system implementing a motivationally autonomous animat
SAB94 Proceedings of the third international conference on Simulation of adaptive behavior : from animals to animats 3: from animals to animats 3
Machine learning, neural and statistical classification
Machine learning, neural and statistical classification
A genetic algorithm method for optimizing fuzzy decision trees
Information Sciences: an International Journal
Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms
Machine Learning
A genetic algorithm for generating fuzzy classification rules
Fuzzy Sets and Systems
Notes on implementing fuzzy sets in Prolog
Fuzzy Sets and Systems
Completeness and consistency conditions for learning fuzzy rules
Fuzzy Sets and Systems
Intelligence through simulated evolution: forty years of evolutionary programming
Intelligence through simulated evolution: forty years of evolutionary programming
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Fuzzy Sets and Systems
Fuzzy Modelling: Paradigms and Practices
Fuzzy Modelling: Paradigms and Practices
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Approximative fuzzy rules approaches for classification with hybrid-GA techniques
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Fril- Fuzzy and Evidential Reasoning in Artificial Intelligence
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Fuzzy Rule-Based Modeling with Applications to Geophysical, Biological, and Engineering Systems
Industrial Applications of Fuzzy Technology
Industrial Applications of Fuzzy Technology
An Evaluation of EvolutionaryGeneralisation in Genetic Programming
Artificial Intelligence Review
Knowledge Representation Using Fuzzy Petri Nets
IEEE Transactions on Knowledge and Data Engineering
What Makes Patterns Interesting in Knowledge Discovery Systems
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inducing Logic Programs With Genetic Algorithms: The Genetic Logic Programming System
IEEE Expert: Intelligent Systems and Their Applications
Learning Logical Definitions from Relations
Machine Learning
Machine Learning
Machine Learning
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
ECML '93 Proceedings of the European Conference on Machine Learning
Coevolutionary Learning: A Case Study
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Crafting Papers on Machine Learning
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Discovery of Surprising Exception Rules Based on Intensity of Implication
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Discovery of Decision Rules from Databases: An Evolutionary Approach
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Concept Formation and Decision Tree Induction Using the Genetic Programming Paradigm
PPSN I Proceedings of the 1st Workshop on Parallel Problem Solving from Nature
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Two Views of Classifier Systems
IWLCS '01 Revised Papers from the 4th International Workshop on Advances in Learning Classifier Systems
GEC: An Evolutionary Approach for Evolving Classifiers
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Genetic Programming, Ensemble Methods and the Bias/Variance Tradeoff - Introductory Investigations
Proceedings of the European Conference on Genetic Programming
Evolving Fuzzy Decision Trees with Genetic Programming and Clustering
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
A Fuzzy Classifier System That Generates Linguistic Rules for Pattern Classification Problems
Selected papers from the EEE/Nagoya-University World Wisepersons Workshop on Fuzzy Logic, Neural Networks, and Evolutionary Computation
Cooperative Coevolution for Learning Fuzzy Rule-Based Systems
Selected Papers from the 5th European Conference on Artificial Evolution
DOGMA: A GA-Based Relational Learner
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
The Advantages of Evolutionary Computation
Biocomputing and emergent computation: Proceedings of BCEC97
On Objective Measures of Rule Surprisingness
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Inference for the Generalization Error
Machine Learning
Decision Tree's Induction Strategies Evaluated on a Hard Real World Problem
CBMS '00 Proceedings of the 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
TAI '95 Proceedings of the Seventh International Conference on Tools with Artificial Intelligence
A survey of evolutionary algorithms for data mining and knowledge discovery
Advances in evolutionary computing
A learning system based on genetic adaptive algorithms
A learning system based on genetic adaptive algorithms
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Evolutionary Computation
Cooperative Coevolution: An Architecture for Evolving Coadapted Subcomponents
Evolutionary Computation
Generation of comprehensible decision trees through evolution of training data
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
New methods for competitive coevolution
Evolutionary Computation
AUC: a better measure than accuracy in comparing learning algorithms
AI'03 Proceedings of the 16th Canadian society for computational studies of intelligence conference on Advances in artificial intelligence
Feature construction and selection using genetic programming and a genetic algorithm
EuroGP'03 Proceedings of the 6th European conference on Genetic programming
Generalisation and model selection in supervised learning with evolutionary computation
EvoWorkshops'03 Proceedings of the 2003 international conference on Applications of evolutionary computing
Inducing oblique decision trees with evolutionary algorithms
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Implementation of evolutionary fuzzy systems
IEEE Transactions on Fuzzy Systems
SLAVE: a genetic learning system based on an iterative approach
IEEE Transactions on Fuzzy Systems
Fuzzy CoCo: a cooperative-coevolutionary approach to fuzzy modeling
IEEE Transactions on Fuzzy Systems
From approximative to descriptive fuzzy classifiers
IEEE Transactions on Fuzzy Systems
Performance evaluation of evolutionary algorithms in classification of biomedical datasets
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
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An overview of the application of evolutionary computation to fuzzy knowledge discovery is presented. This is set in one of two contexts: overcoming the knowledge acquisition bottleneck in the development of intelligent reasoning systems, and in the data mining of databases where the aim is the discovery of new knowledge. The different strategies utilizing evolutionary algorithms for knowledge acquisition are abstracted from the work reviewed. The simplest strategy runs an evolutionary algorithm once, while the iterative rule learning approach runs several evolutionary algorithms in succession, with the output from each considered a partial solution. Ensembles are formed by combining several classifiers generated by evolutionary techniques, while co-evolution is often used for evolving rule bases and associated membership functions simultaneously. The associated strengths and limitations of these induction strategies are compared and discussed. Ways in which evolutionary techniques have been adapted to satisfy the common evaluation criteria of the induced knowledge—classification accuracy, comprehensibility and novelty value—are also considered. The review concludes by highlighting common limitations of the experimental methodology used and indicating ways of resolving them.