Genetic algorithms in process planning

József Váncza, András Márkus

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

The paper discusses the flaws of classical planning methods and outlines a new approach by which a large portion of domain-related knowledge can be represented and passed to a learning method using genetic machinery.

Original languageEnglish
Pages (from-to)181-194
Number of pages14
JournalComputers in Industry
Volume17
Issue number2-3
DOIs
Publication statusPublished - Nov 1991

Keywords

  • Form features
  • Genetic algorithms
  • Learning methods
  • Optimization
  • Process planning

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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