<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>16(1)</volume><submitter>Hui L</submitter><funding>Scientific Research Project of the Liaoning Provincial Department of Education</funding><funding>Scientific Research Project of the Liaoning ProviGeneral Project of the Liaoning Provincial Department of Education</funding><journal>Scientific reports</journal><pagination>6768</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12913896</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Improved black-winged kite optimization algorithm with multi-strategy hybrid and its application.</pubmed_title><pmcid>PMC12913896</pmcid><funding_grant_id>(LJKMZ20220675)</funding_grant_id><funding_grant_id>(LJ2017QL009)</funding_grant_id><pubmed_authors>Hui L</pubmed_authors><pubmed_authors>Kong Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improved black-winged kite optimization algorithm with multi-strategy hybrid and its application.</name><description/><dates><release>2026-01-01T00:00:00Z</release><publication>2026 Jan</publication><modification>2026-07-09T11:16:23.012Z</modification><creation>2026-07-09T10:40:57.082Z</creation></dates><accession>S-EPMC12913896</accession><cross_references><pubmed>41617896</pubmed><doi>10.1038/s41598-026-36871-x</doi></cross_references></HashMap>