- author = "Aniko Ekart and Andras Markus",
- title = "Using Genetic Programming and Decision Trees for Generating Structural Descriptions of Four Bar Mechanisms",
- journal = "Artificial Intelligence for Engineering Design, Analysis and Manufacturing",
- year = "2003",
- volume = "17",
- number = "3",
- pages = "205--220",
- month = aug,
- keywords = "genetic algorithms, genetic programming, decision trees, four bar mechanism synthesis, machine learning",
- ISSN = "0890-0604",
-
DOI = "
doi:10.1017/S0890060403173039",
-
abstract = "Four bar mechanisms are basic components of many
important mechanical device. The kinematic synthesis of
four bar mechanisms is a difficult design problem.
We present here a novel method that combines the genetic programming and decision tree learning methods.
We give a structural description for the class of mechanisms that produce desired coupler curves. For finding and characterising feasible regions of the design space constructive induction is used. Decision trees constitute the learning engine and the new features are created by genetic programming.",
- notes = "http://journals.cambridge.org/action/displayJournal?jid=AIE",
