Information Processing Letters
Genetic algorithms with sharing for multimodal function optimization
Proceedings of the Second International Conference on Genetic Algorithms on Genetic algorithms and their application
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Inductive logic programming: issues, results and the challenge of learning language in logic
Artificial Intelligence - Special issue on applications of artificial intelligence
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Foundations of Inductive Logic Programming
Foundations of Inductive Logic Programming
Relational Data Mining
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Data Mining and Knowledge Discovery with Evolutionary Algorithms
Efficient GA Based Techniques for Classification
Applied 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
A species conserving genetic algorithm for multimodal function optimization
Evolutionary Computation
SIA: A Supervised Inductive Algorithm with Genetic Search for Learning Attributes based Concepts
ECML '93 Proceedings of the European Conference on Machine Learning
An Experimental Evaluation of Coevolutive Concept Learning
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Analysis of Genetic Algorithms Evolution under Pure Selection
Proceedings of the 6th International Conference on Genetic Algorithms
Selective Propositionalization for Relational Learning
PKDD '99 Proceedings of the Third European Conference on Principles of Data Mining and Knowledge Discovery
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
ILP '96 Selected Papers from the 6th International Workshop on Inductive Logic Programming
DOGMA: A GA-Based Relational Learner
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
An analysis of the behavior of a class of genetic adaptive systems.
An analysis of the behavior of a class of genetic adaptive systems.
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Feature influence for evolutionary learning
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Search-intensive concept induction
Evolutionary Computation
Tractable induction and classification in first order logic via stochastic matching
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Knowledge-based fast evaluation for evolutionary learning
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Handling continuous attributes in an evolutionary inductive learner
IEEE Transactions on Evolutionary Computation
Hybrid Learning of Ontology Classes
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Context-sensitive refinements for stochastic optimisation algorithms in inductive logic programming
Artificial Intelligence Review
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This paper presents an overview of evolutionary approaches to Inductive Logic Programming (ILP). After a short description of the two popular ILP systems FOIL and Progol, we focus on methods based on evolutionary algorithms (EAs). Six systems are described and compared by means of the following aspects: search strategy, representation, hypothesis evaluation, search operators and biases adopted for limiting the hypothesis space. We discuss possible advantages and drawbacks related to the specific features of the systems along these aspects. Issues concerning the relative performance and efficiency of the systems are addressed.