<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-2G82AZIJ</identifier><date>2018</date><creator>Brezočnik, Miran</creator><creator>Gostimirović, Marin</creator><creator>Hadžistević, Miodrag</creator><creator>Pejić, Vlastimir</creator><creator>Sekulić, Milenko</creator><relation>documents/doc/2/URN_NBN_SI_doc-2G82AZIJ_001.pdf</relation><relation>documents/doc/2/URN_NBN_SI_doc-2G82AZIJ_001.txt</relation><format format_type="issue">1</format><format format_type="volume">13</format><format format_type="type">article</format><format format_type="extent">str. 18-30</format><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID">21315094</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-2G82AZIJ</identifier><language>eng</language><publisher>Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>InC</rights><subject language_type_id="slv">čelno frezanje</subject><subject language_type_id="slv">genetski algoritmi</subject><subject language_type_id="slv">metodologija odzivnih površin</subject><subject language_type_id="slv">površinska hrapavost</subject><title>Prediction of surface roughness in the ball-end milling process using response surface methodology, genetic algorithms, and grey wolf optimizer algorithm</title></Record>