Genetic programming approach for surface quality prediction

Created by W.Langdon from gp-bibliography.bib Revision:1.8120

@Article{Kovacic:2003:TR,

• author = "Miha Kovacic and Miran Brezocnik",
• title = "Genetic programming approach for surface quality prediction",
• journal = "Tehnicki vjesnik",
• year = "2003",
• volume = "10",
• number = "1",
• pages = "19--24",
• keywords = "genetic algorithms, genetic programming",
• abstract = "The evolutionary computation is a common name for the optimisation methods imitating Darwinian findings about evolution of the biological species and the survival of the fittest. The common characteristic of the evolutionary computation is that the optimum or near optimum solution of the problem is formed gradually, from generation to generation, similarly as nature acts during the improvement and evolution of living beings. We use genetic programming to predict the surface quality of aluminium alloy. Two sets of experimental data were used: first set to determine prediction model by genetic programming for surface roughness and second set to verify the model. The researches show very good agreement between the experimental data and the predicted values obtained by the model developed genetically.",
• notes = "http://www.gradst.hr/library/journals/catalogue_T/teh-vjes.htm TECHNICAL GAZETTE Scientific-professional journal of technical faculties of the University of Osijek",

}

Genetic Programming entries for Miha Kovacic Miran Brezocnik

Citations