<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-3L6BQC0J</identifier><date>2024</date><creator>Serag, Ahmed</creator><relation>documents/doc/3/URN_NBN_SI_doc-3L6BQC0J_001.pdf</relation><relation>documents/doc/3/URN_NBN_SI_doc-3L6BQC0J_001.txt</relation><format format_type="issue">10</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 65-78</format><identifier identifier_type="DOI">10.31449/inf.v48i10.5757</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">217005059</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-3L6BQC0J</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">inteligentni optimizacijski algoritmi</subject><subject language_type_id="slv">metaheuristika</subject><subject language_type_id="slv">penguinski optimizator</subject><subject language_type_id="slv">strojno učenje</subject><subject language_type_id="slv">tehnika poderiranja</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Improving the emperor penguin optimizer algorithm through adapted weighted sum mutation strategy with information vector</title></Record>