Chapter

Genetic and Evolutionary Computation — GECCO 2003

Volume 2723 of the series Lecture Notes in Computer Science pp 898-908

Date:

A Method for Handling Numerical Attributes in GA-Based Inductive Concept Learners

  • Federico DivinaAffiliated withDepartment of Computer Science, Vrije Universiteit
  • , Maarten KeijzerAffiliated withDepartment of Computer Science, Vrije Universiteit
  • , Elena MarchioriAffiliated withDepartment of Computer Science, Vrije Universiteit

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Abstract

This paper proposes a method for dealing with numerical attributes in inductive concept learning systems based on genetic algorithms. The method uses constraints for restricting the range of values of the attributes and novel stochastic operators for modifying the constraints. These operators exploit information on the distribution of the values of an attribute. The method is embedded into a GA based system for inductive logic programming. Results of experiments on various data sets indicate that the method provides an effective local discretization tool for GA based inductive concept learners.