Programming CNC measuring machines by genetic algorithms

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{brezocnik_2004_AJME,

• author = "Miran Brezocnik and Miha Kovacic and Joze Balic and Bogdan Sovilj",
• title = "Programming {CNC} measuring machines by genetic algorithms",
• journal = "Academic Journal of Manufacturing Engineering",
• year = "2004",
• volume = "2",
• number = "4",
• pages = "15--20",
• keywords = "genetic algorithms, genetic programming, optimisation, coordinate measuring machines, computer aided quality control, evolutionary computation",
• ISSN = "1583-7904",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/brezocnik_2004_AJME.pdf",
• size = "6 pages",
• abstract = "The need for efficient and reliable tools for programming of CNC coordinate measuring machine is rapidly increasing in modern production. The proposed concept based on genetic algorithms assures generation and optimization of NC programs for measuring machine. Therefore the structure, undergoing simulated evolution, is the population of NC programs. The NC programs control the tactile probe which performs simple elementary motions in the discretized measuring area. During the simulated evolution the probe movement becomes more and more optimized and intelligent solutions emerge gradually as a result of the low level interaction between the simple probe movements and the measuring environment. Example of CNC programming of measuring machine is given. Results show universality and inventiveness of the approach",
• notes = "http://www.eng.utt.ro/auif/ http://www.eng.utt.ro/auif/rev/issue/no-08/no-08.html#C2",

}

Genetic Programming entries for Miran Brezocnik Miha Kovacic Joze Balic Bogdan Sovilj

Citations