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Feature Subset Selection Problems: A Variable-Length Chromosome Perspective

  • César M. Guerra-Salcedo

Abstract

Fixed-length subset problems occur where a solution to a problem is described by an unordered subset of a particular cardinality. Some fixed-length subset problems are known as “deceptive” problems. In a deceptive problem certain possible solutions tend to lead the search algorithm towards a locally optimal solution. In this research, deceptive problems are treated as feature selection problems, the goal is to find the right combination of features that solves the problem. We explore a family of genetic search methods known as messy genetic algorithms on artificially generated deceptive problems and real-world instance-based classification problems.

Keywords

Genetic Algorithm Selection Problem Probabilistic Neural Network Feature Selection Problem Traditional Genetic Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Wien 2001

Authors and Affiliations

  • César M. Guerra-Salcedo
    • 1
  1. 1.Advanced Technology GroupAthene Software Inc.BoulderUSA

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