%0 Book Section %1 Kovacic:2003:DAAAM %A Kovacic, Miha %A Brezocnik, Miran %B DAAAM International Scientific Book 2003 %C Vienna %D 2003 %E Katalinic, B. %I DAAAM International Vienna %K algorithms, genetic programming %P 331--338 %T Evolutionary method for surface quality prediction %V 2 %X In this paper the genetic algorithm based method which we named genetic approximation is used to optimise floating-point constants of the presumed mathematical model for surface quality prediction. In addition, a practical example of the use of genetic approximation method for predicting surface quality of Monel alloy is presented. Cutting depth, feeding, and cutting speed were parameters monitored during cutting process. For each combination of cutting parameters average roughness of the machined surface was measured. Two sets of experimental data were used: first set of 8 experimental data to determine prediction model and second set of 10 experimental measurements to verify the model. Research shows that developed model fits to experimental data. %@ 3-901509-36-4

@incollection{Kovacic:2003:DAAAM, abstract = {In this paper the genetic algorithm based method which we named genetic approximation is used to optimise floating-point constants of the presumed mathematical model for surface quality prediction. In addition, a practical example of the use of genetic approximation method for predicting surface quality of Monel alloy is presented. Cutting depth, feeding, and cutting speed were parameters monitored during cutting process. For each combination of cutting parameters average roughness of the machined surface was measured. Two sets of experimental data were used: first set of 8 experimental data to determine prediction model and second set of 10 experimental measurements to verify the model. Research shows that developed model fits to experimental data.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Vienna}, author = {Kovacic, Miha and Brezocnik, Miran}, biburl = {https://www.bibsonomy.org/bibtex/2a6d56fe332b1725f56a694a4ebfe023d/brazovayeye}, booktitle = {DAAAM International Scientific Book 2003}, editor = {Katalinic, B.}, interhash = {97829c0c0342beccab6ebf2006392bf9}, intrahash = {a6d56fe332b1725f56a694a4ebfe023d}, isbn = {3-901509-36-4}, keywords = {algorithms, genetic programming}, month = {Juli}, notes = {publication@daaam.com http://www.daaam.com/daaam/Sc_Book/DAAAM_International_Scientific_Book_2006.htm}, pages = {331--338}, publisher = {DAAAM International Vienna}, timestamp = {2008-06-19T17:43:44.000+0200}, title = {Evolutionary method for surface quality prediction}, volume = 2, year = 2003 }