<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-7BORYQ4L</identifier><date>2025</date><creator>Wei, Mingbin</creator><relation>documents/doc/7/URN_NBN_SI_doc-7BORYQ4L_001.pdf</relation><relation>documents/doc/7/URN_NBN_SI_doc-7BORYQ4L_001.txt</relation><format format_type="issue">16</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 187-198</format><identifier identifier_type="DOI">10.31449/inf.v49i16.7452</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">245558531</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-7BORYQ4L</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">algoritem kolonije mravelj</subject><subject language_type_id="slv">genetski algoritmi</subject><subject language_type_id="slv">logistika</subject><subject language_type_id="slv">oskrbovalne vrige</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Optimization of emergency material logistics supply chain path based on improved ant colony algorithm</title></Record>