<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-RXG69ZDU</identifier><date>2024</date><creator>Zhao, Daidi</creator><relation>documents/doc/R/URN_NBN_SI_doc-RXG69ZDU_001.pdf</relation><relation>documents/doc/R/URN_NBN_SI_doc-RXG69ZDU_001.txt</relation><format format_type="issue">15</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 107-120</format><identifier identifier_type="DOI">10.31449/inf.v48i15.6222</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">222138627</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-RXG69ZDU</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">genetski algoritmi</subject><subject language_type_id="slv">ladijski transport</subject><subject language_type_id="slv">nalaganje</subject><subject language_type_id="slv">stroški</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Genetic algorithm optimization in ship rapid loading planning</title></Record>