Stephenson DA, Agapiou JS (2005) Metal cutting theory and practice. 68.CRC press.
 Zain AM, Haron H, Sharif S (2008) An overview of GA technique for surface roughness optimization in milling process. ITSim 2008. International Symposium. Kuala Lumpur, Malaysia.
 Oktem H, Erzurumlu T, Erzincanli F (2006) Prediction of minimum surface roughness in end milling mold parts using neural network and genetic algorithm. Mater Design 27(9): 735-744.
 Zain AM, Haron H, Sharif S (2010) Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process. Expert Syst Appl 37(6): 4650-4659.
 Suresh P, Rao PV, Deshmukh S (2002) A genetic algorithmic approach for optimization of surface roughness prediction model. Int J Mach Tool Manu 42(6): 675-680.
 Brezocnik M, Kovacic M, Ficko M (2004) Prediction of surface roughness with genetic programming. J Mater Process Tech 157: 28-36.
 Çolak O, Kurbanoğlu C, Kayacan MC (2007) Milling surface roughness prediction using evolutionary programming methods. Mater Design 28(2): 657-666.
 Tanse IN (2006) Selection of optimal cutting conditions by using GONNS. Int J Mach Tool Manu 46(1): 26-35.
 Palanisamy P, Rajendran I, Shanmugasundaram S (2007) Optimization of machining parameters using genetic algorithm and experimental validation for end-milling operations. Int J Adv Manuf Tech 32(7-8): 644-655.
 Gologlu C, Sakarya N (2008) The effects of cutter path strategies on surface roughness of pocket milling of 1.2738 steel based on Taguchi method. J Mater Process Tech 206(1): 7-15.
 Holland JH (1975) Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence. U Michigan Press.
 Golberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley Longman Publishing Co Inc. Boston, MA, USA.