<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-Q8GL8QXB</identifier><date>2023</date><creator>Peng, F.</creator><creator>Zheng, L.</creator><relation>documents/doc/Q/URN_NBN_SI_doc-Q8GL8QXB_001.pdf</relation><relation>documents/doc/Q/URN_NBN_SI_doc-Q8GL8QXB_001.txt</relation><format format_type="volume">18</format><format format_type="issue">3</format><format format_type="type">article</format><format format_type="extent">str. 271-287</format><identifier identifier_type="DOI">10.14743/apem2023.3.472</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">268582147</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-Q8GL8QXB</identifier><language>eng</language><publisher publisher_location="Maribor">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>BY</rights><subject language_type_id="slv">algoritmi</subject><subject language_type_id="eng">benchmark analysis</subject><subject language_type_id="slv">delavci</subject><subject language_type_id="slv">delovna sila</subject><subject language_type_id="eng">dual resource constraints</subject><subject language_type_id="eng">flexible job shop scheduling;</subject><subject language_type_id="slv">inženirstvo</subject><subject language_type_id="eng">local search</subject><subject language_type_id="slv">management</subject><subject language_type_id="slv">menedžment</subject><subject language_type_id="slv">metoda sortiranja</subject><subject language_type_id="eng">multi-objective optimization</subject><subject language_type_id="eng">NSGA-II</subject><subject language_type_id="slv">optimizacija</subject><subject language_type_id="slv">produkcijski cikli</subject><subject language_type_id="slv">stroji</subject><subject language_type_id="eng">Wild Horse optimization</subject><title>An improved multi-objective Wild Horse optimization for the dual-resource-constrained flexible job shop scheduling problem: a comparative analysis with NSGA-II and a real case study</title></Record>