Using genetic programming and decision trees for generating structural descriptions of four bar mechanisms

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Abstract

Four bar mechanisms are basic components of many important mechanical devices. The kinematic synthesis of four bar mechanisms is a difficult design problem. A novel method that combines the genetic programming and decision tree learning methods is presented. We give a structural description for the class of mechanisms that produce desired coupler curves. Constructive induction is used to find and characterize feasible regions of the design space. Decision trees constitute the learning engine, and the new features are created by genetic programming.

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Details

Original languageEnglish
Pages (from-to)205-220
Number of pages16
JournalArtificial Intelligence for Engineering Design, Analysis and Manufacturing
Volume17
Issue number3
DOIs
StatePublished - Aug 2003

    Keywords

  • decision trees, four bar mechanism synthesis, genetic programming, machine learning

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