Modeling of forming efficiency using genetic programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@Article{Brezocnik:2001:MPT,

• author = "Miran Brezocnik and Joze Balic and Zlatko Kampus",
• title = "Modeling of forming efficiency using genetic programming",
• journal = "Journal of Materials Processing Technology",
• volume = "109",
• pages = "20--29",
• year = "2001",
• number = "1-2",
• month = "1 " # feb,
• email = "joze.balic@uni-mb.si",
• keywords = "genetic algorithms, genetic programming, Metal-forming, Yield stress, Forming efficiency, Modeling, Adaptation, Artificial intelligence",
• ISSN = "0924-0136",
• URL = "http://www.sciencedirect.com/science/article/B6TGJ-423HM9M-5/1/bcc93a13fbb04521236d3a8e16f8850b",
• DOI = "doi:10.1016/S0924-0136(00)00783-4",
• abstract = "This paper proposes new approach for modeling of various processes in metal-forming industry. As an example, we demonstrate the use of genetic programming (GP) for modeling of forming efficiency. The forming efficiency is a basis for determination of yield stress which is the fundamental characteristic of metallic materials. Several different genetically evolved models for forming efficiency on the basis of experimental data for learning were discovered. The obtained models (equations) differ in size, shape, complexity and precision of solutions. In one run out of many runs of our GP system the well-known equation of Siebel was obtained. This fact leads us to opinion that GP is a very powerful evolutionary optimization method appropriate not only for modeling of forming efficiency but also for modeling of many other processes in metal-forming industry. [COBISS.SI-ID 5979414]",
• notes = "Journal of Materials Processing Technology http://www.elsevier.com/wps/find/journaldescription.cws_home/505656/description#description",

}

Genetic Programming entries for Miran Brezocnik Joze Balic Zlatko Kampus

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