Practical pattern-classification and knowledge-discovery problems require the selection of a subset of attributes or features to represent the patterns to be classified. The authors' approach uses a genetic algorithm to select such subsets, achieving multicriteria optimization in terms of generalization accuracy and costs associated with the features.

Original languageEnglish (US)
Pages (from-to)44-48
Number of pages5
JournalIEEE Intelligent Systems and Their Applications
Issue number2
StatePublished - Mar 1998

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence


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