<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-X5R9OJJ4</identifier><date>2025</date><creator>Li, Wanchun</creator><creator>Wang, Liping</creator><relation>documents/doc/X/URN_NBN_SI_doc-X5R9OJJ4_001.pdf</relation><relation>documents/doc/X/URN_NBN_SI_doc-X5R9OJJ4_001.txt</relation><format format_type="issue">13</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 33-48</format><identifier identifier_type="DOI">10.31449/inf.v49i13.6565</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">241059075</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-X5R9OJJ4</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">hibridni parametri</subject><subject language_type_id="slv">kolonija mravelj</subject><subject language_type_id="slv">logistika</subject><subject language_type_id="slv">razporejanje</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Intelligent logistics resource scheduling based on hybrid parameter ant colony algorithm and reinforcement learning</title></Record>