Reconstruction of Physical Correlations Using Symbolic Regression

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@TechReport{oai:eldorado:0x00041622,

• title = "Reconstruction of Physical Correlations Using Symbolic Regression",
• author = "Klaus Weinert and Marc Stautner",
• year = "2001",
• institution = "Dept. of Machining Technology, University of Dortmund",
• address = "D-44227 Dortmund, Germany",
• month = jul # " 24",
• keywords = "genetic algorithms, genetic programming",
• language = "ENG",
• oai = "oai:eldorado:0x00041622",
• rights = "These documents can be used freely according to copyright laws. They can be printed freely. It is not allowed to distribute them further on.",
• URL = "http://hdl.handle.net/2003/5415",
• URL = "https://eldorado.tu-dortmund.de/bitstream/2003/5415/1/116.pdf",
• abstract = "Modeling the particle flow mechanisms in orthogonal cutting of turning processes is a vital task in mechanical engineering. This paper presents a new approach that differs from techniques like finite element analyzes (FEA) or molecular dynamics (MD). Using symbolic regression, a genetic programming system evolves mathematical formulae that describe the trajectories of single particles of steel recorded during the turning process by a high-speed camera.",
• notes = "WINanalyze",
• size = "9 pages",

}

Genetic Programming entries for Klaus Weinert Marc Stautner

Citations