{"id":"https://openalex.org/W7118243842","doi":"https://doi.org/10.1007/s10586-025-05814-y","title":"Chaotic games driven grey Wolf optimization: optimal performance design and comprehensive analysis","display_name":"Chaotic games driven grey Wolf optimization: optimal performance design and comprehensive analysis","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7118243842","doi":"https://doi.org/10.1007/s10586-025-05814-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-025-05814-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05814-y","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5113102504","display_name":"Chenhua Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhua Tang","raw_affiliation_strings":["Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122165638","display_name":"Changcheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changcheng Huang","raw_affiliation_strings":["Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122205750","display_name":"Yi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Chen","raw_affiliation_strings":["Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000122353","display_name":"A. Heidari","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Asghar Heidari","raw_affiliation_strings":["School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122065618","display_name":"Huiling Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiling Chen","raw_affiliation_strings":["Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China"],"affiliations":[{"raw_affiliation_string":"Institute of Big data and Information Technology, Wenzhou University, Wenzhou, 325000, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122183241","display_name":"Guoxi Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210144709","display_name":"Wenzhou Polytechnic","ror":"https://ror.org/05h1ry383","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144709"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxi Liang","raw_affiliation_strings":["Department of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, 325035, China"],"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Wenzhou Polytechnic, Wenzhou, 325035, China","institution_ids":["https://openalex.org/I4210144709"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5122165638"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03541131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":"2","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":0.7487000226974487,"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":0.7487000226974487,"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":0.20999999344348907,"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/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.008700000122189522,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.767300009727478},{"id":"https://openalex.org/keywords/initialization","display_name":"Initialization","score":0.6830999851226807},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5407999753952026},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.5349000096321106},{"id":"https://openalex.org/keywords/engineering-optimization","display_name":"Engineering optimization","score":0.4848000109195709},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4691999852657318},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.37540000677108765},{"id":"https://openalex.org/keywords/global-optimization","display_name":"Global optimization","score":0.3614000082015991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8137000203132629},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.767300009727478},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6830999851226807},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5738000273704529},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5407999753952026},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.5349000096321106},{"id":"https://openalex.org/C110850998","wikidata":"https://www.wikidata.org/wiki/Q5377895","display_name":"Engineering optimization","level":3,"score":0.4848000109195709},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4691999852657318},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.37540000677108765},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.3614000082015991},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.3614000082015991},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.3490999937057495},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32089999318122864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.319599986076355},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.30979999899864197},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.30379998683929443},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28380000591278076},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.2662999927997589},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26489999890327454},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2644999921321869},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.25850000977516174}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-025-05814-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05814-y","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1917935014","display_name":null,"funder_award_id":"LTGY24C060004","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"}],"funders":[{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":92,"referenced_works":["https://openalex.org/W1578459922","https://openalex.org/W1595159159","https://openalex.org/W1608274859","https://openalex.org/W1777985119","https://openalex.org/W1965924984","https://openalex.org/W1966166293","https://openalex.org/W1987234899","https://openalex.org/W1990966828","https://openalex.org/W1999284878","https://openalex.org/W2017426530","https://openalex.org/W2025500642","https://openalex.org/W2038883765","https://openalex.org/W2039577332","https://openalex.org/W2042253843","https://openalex.org/W2061438946","https://openalex.org/W2072955302","https://openalex.org/W2076608183","https://openalex.org/W2096166399","https://openalex.org/W2096673585","https://openalex.org/W2099239187","https://openalex.org/W2108179244","https://openalex.org/W2117533322","https://openalex.org/W2144051602","https://openalex.org/W2155529731","https://openalex.org/W2221148967","https://openalex.org/W2232317135","https://openalex.org/W2262722845","https://openalex.org/W2279039799","https://openalex.org/W2290883490","https://openalex.org/W2474443138","https://openalex.org/W2543580944","https://openalex.org/W2615743202","https://openalex.org/W2729414995","https://openalex.org/W2730253853","https://openalex.org/W2738900493","https://openalex.org/W2761388352","https://openalex.org/W2775524044","https://openalex.org/W2782513934","https://openalex.org/W2797756395","https://openalex.org/W2804231978","https://openalex.org/W2886499297","https://openalex.org/W2887409581","https://openalex.org/W2899191645","https://openalex.org/W2903569983","https://openalex.org/W2919979744","https://openalex.org/W2922344286","https://openalex.org/W2938798258","https://openalex.org/W2944411166","https://openalex.org/W2947678382","https://openalex.org/W2952389999","https://openalex.org/W2962004477","https://openalex.org/W2970223703","https://openalex.org/W2979672095","https://openalex.org/W2989363164","https://openalex.org/W2995428710","https://openalex.org/W3013595070","https://openalex.org/W3014974411","https://openalex.org/W3015674079","https://openalex.org/W3027341029","https://openalex.org/W3036361249","https://openalex.org/W3083172984","https://openalex.org/W3092325687","https://openalex.org/W3094221378","https://openalex.org/W3111096857","https://openalex.org/W3125342352","https://openalex.org/W3134651880","https://openalex.org/W3146344560","https://openalex.org/W3154719286","https://openalex.org/W3158161056","https://openalex.org/W3159530771","https://openalex.org/W3169902780","https://openalex.org/W3198400168","https://openalex.org/W3202056946","https://openalex.org/W3216910931","https://openalex.org/W4206081481","https://openalex.org/W4223891680","https://openalex.org/W4224861392","https://openalex.org/W4282547846","https://openalex.org/W4282966553","https://openalex.org/W4289079854","https://openalex.org/W4293154685","https://openalex.org/W4293834851","https://openalex.org/W4309284213","https://openalex.org/W4311632513","https://openalex.org/W4320487090","https://openalex.org/W4380030850","https://openalex.org/W4383197038","https://openalex.org/W4399769851","https://openalex.org/W4401363756","https://openalex.org/W4404001897","https://openalex.org/W4407330542","https://openalex.org/W4410356519"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-08T00:00:00"}
