{"id":"https://openalex.org/W7166695973","doi":"https://doi.org/10.48550/arxiv.2606.28644","title":"Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution","display_name":"Analysis of Parameter Settings for the Bat Algorithm Using Variance Evolution","publication_year":2026,"publication_date":"2026-06-26","ids":{"openalex":"https://openalex.org/W7166695973","doi":"https://doi.org/10.48550/arxiv.2606.28644"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.28644","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28644","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.28644","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009930587","display_name":"Xin\u2010She Yang","orcid":"https://orcid.org/0000-0001-8231-5556"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Xin-She","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5083933813","display_name":"Mehmet Karamanoglu","orcid":"https://orcid.org/0000-0002-5049-2993"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karamanoglu, Mehmet","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9081000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9081000089645386,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.05429999902844429,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.014999999664723873,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5877000093460083},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5509999990463257},{"id":"https://openalex.org/keywords/bat-algorithm","display_name":"Bat algorithm","score":0.5209000110626221},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5015000104904175},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4957999885082245},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.41600000858306885},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3788999915122986},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.3750999867916107}],"concepts":[{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5877000093460083},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5509999990463257},{"id":"https://openalex.org/C5351157","wikidata":"https://www.wikidata.org/wiki/Q4868485","display_name":"Bat algorithm","level":3,"score":0.5209000110626221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5055000185966492},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5015000104904175},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4957999885082245},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45410001277923584},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.41600000858306885},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3750999867916107},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35679998993873596},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3564999997615814},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.35359999537467957},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C79379906","wikidata":"https://www.wikidata.org/wiki/Q3174497","display_name":"Dynamical systems theory","level":2,"score":0.3127000033855438},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C33962884","wikidata":"https://www.wikidata.org/wiki/Q378637","display_name":"Dynamical system (definition)","level":3,"score":0.2702000141143799},{"id":"https://openalex.org/C52079815","wikidata":"https://www.wikidata.org/wiki/Q7229808","display_name":"Population model","level":3,"score":0.2653000056743622},{"id":"https://openalex.org/C47822265","wikidata":"https://www.wikidata.org/wiki/Q854457","display_name":"Complex system","level":2,"score":0.25220000743865967}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.28644","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28644","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.28644","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.28644","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Parameter":[0],"settings":[1],"in":[2,39,42,77],"evolutionary":[3],"algorithms":[4,18],"and":[5,67,119],"metaheuristics":[6],"are":[7,26,94],"important":[8],"because":[9],"such":[10,112],"parameter":[11,51,80],"values":[12],"can":[13,36,72,101],"influence":[14],"the":[15,34,62,83,109],"performance":[16],"of":[17,50,64,69,79],"under":[19],"evaluation.":[20],"For":[21],"a":[22],"given":[23],"algorithm,":[24],"there":[25,45],"many":[27],"different":[28,106],"numerical":[29,92],"experiments":[30,93],"to":[31],"show":[32,57,88],"that":[33,58,89],"algorithm":[35],"work":[37],"well":[38,122],"practice;":[40],"however,":[41],"most":[43],"cases":[44],"is":[46],"no":[47],"theoretical":[48,59,97],"analysis":[49,60],"settings.":[52],"In":[53],"this":[54],"work,":[55],"we":[56],"using":[61],"theory":[63],"dynamical":[65],"systems":[66],"evolution":[68],"population":[70],"variance":[71,114],"give":[73],"some":[74],"good":[75,103],"results":[76,90],"terms":[78],"ranges":[81],"for":[82],"bat":[84],"algorithm.":[85],"We":[86],"also":[87],"from":[91,105],"consistent":[95],"with":[96],"bounds.":[98],"Such":[99],"analyses":[100],"provide":[102],"insights":[104],"perspectives":[107],"about":[108],"algorithmic":[110],"characteristics":[111],"as":[113,121,123],"evolution,":[115],"transition":[116],"between":[117],"exploration":[118],"exploitation":[120],"convergence":[124],"behaviour.":[125]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-01T00:00:00"}