{"id":"https://openalex.org/W4380302383","doi":"https://doi.org/10.1109/icaci58115.2023.10146146","title":"Improvement Whale Optimization Algorithm Based on Mixed Strategy","display_name":"Improvement Whale Optimization Algorithm Based on Mixed Strategy","publication_year":2023,"publication_date":"2023-05-06","ids":{"openalex":"https://openalex.org/W4380302383","doi":"https://doi.org/10.1109/icaci58115.2023.10146146"},"language":"en","primary_location":{"id":"doi:10.1109/icaci58115.2023.10146146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaci58115.2023.10146146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"Liu Yujia","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163048","display_name":"Jiangxi College of Applied Technology","ror":"https://ror.org/05d5kcc69","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163048"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Yujia","raw_affiliation_strings":["Jiangxi College of Application Science and Technology,School of Intelligent Manufacturing Engineering,Nanchang,China,330000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi College of Application Science and Technology,School of Intelligent Manufacturing Engineering,Nanchang,China,330000","institution_ids":["https://openalex.org/I4210163048"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tang Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4510145","display_name":"Jiangxi University of Science and Technology","ror":"https://ror.org/03q0t9252","country_code":"CN","type":"education","lineage":["https://openalex.org/I4510145"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tang Feng","raw_affiliation_strings":["Jiangxi University of Science and Technology,School of Information Engineering,Ganzhou,China,341000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangxi University of Science and Technology,School of Information Engineering,Ganzhou,China,341000","institution_ids":["https://openalex.org/I4510145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100615518","display_name":"Xin Chen","orcid":"https://orcid.org/0009-0003-0995-1152"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Xin","raw_affiliation_strings":["Zhejiang Normal University,College of Mathematics and Computer Science,Jinhua,China,321004"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Normal University,College of Mathematics and Computer Science,Jinhua,China,321004","institution_ids":["https://openalex.org/I135237710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T12391","display_name":"Artificial Immune Systems Applications","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9664000272750854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6604183912277222},{"id":"https://openalex.org/keywords/whale","display_name":"Whale","score":0.6423108577728271},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.583092987537384},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5645383596420288},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5358349680900574},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5145577788352966},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.4900280237197876},{"id":"https://openalex.org/keywords/local-optimum","display_name":"Local optimum","score":0.47587862610816956},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4728710353374481},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4263852834701538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2631590962409973}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6604183912277222},{"id":"https://openalex.org/C2777704720","wikidata":"https://www.wikidata.org/wiki/Q1865281","display_name":"Whale","level":2,"score":0.6423108577728271},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.583092987537384},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5645383596420288},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5358349680900574},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5145577788352966},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.4900280237197876},{"id":"https://openalex.org/C141934464","wikidata":"https://www.wikidata.org/wiki/Q3305386","display_name":"Local optimum","level":2,"score":0.47587862610816956},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4728710353374481},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4263852834701538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2631590962409973},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaci58115.2023.10146146","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaci58115.2023.10146146","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on Advanced Computational Intelligence (ICACI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.7400000095367432}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1523741643","https://openalex.org/W2004133169","https://openalex.org/W2061438946","https://openalex.org/W2123929759","https://openalex.org/W2152195021","https://openalex.org/W2290883490","https://openalex.org/W2542691202","https://openalex.org/W2919979744","https://openalex.org/W2983873244","https://openalex.org/W3005759659","https://openalex.org/W3022510065","https://openalex.org/W3087652231","https://openalex.org/W3110062260","https://openalex.org/W3113162495","https://openalex.org/W3185076117","https://openalex.org/W3203269949","https://openalex.org/W4292083457","https://openalex.org/W4308635151"],"related_works":["https://openalex.org/W3007853953","https://openalex.org/W4399246920","https://openalex.org/W4392005006","https://openalex.org/W2965460829","https://openalex.org/W3134238053","https://openalex.org/W2884189257","https://openalex.org/W4399181284","https://openalex.org/W4402025934","https://openalex.org/W4403761382","https://openalex.org/W4403766560"],"abstract_inverted_index":{"As":[0],"the":[1,8,20,41,48,69,74,78,84,96,103,112,115,135,138],"original":[2],"Whale":[3],"Optimization":[4],"Algorithm":[5],"(WOA)":[6],"has":[7],"drawback":[9],"of":[10,24,73,80,83,102,114,137,150],"falling":[11],"into":[12],"local":[13,85],"extremes,":[14],"it":[15],"also":[16],"fails":[17],"to":[18,52,67],"meet":[19],"expectations":[21],"in":[22,148],"terms":[23,149],"convergence":[25],"effect.":[26],"An":[27],"improved":[28,118],"whale":[29,104,119],"optimization":[30,71,105,120],"algorithm":[31,43,75,106,121,140],"(HWOA)":[32],"based":[33,46],"on":[34,47,127],"a":[35,54],"hybrid":[36],"strategy":[37,64,142],"was":[38],"proposed.":[39],"First,":[40],"proposed":[42],"is":[44,65,122],"initialized":[45],"Zaslavskii":[49],"chaotic":[50],"map":[51],"obtain":[53],"population":[55],"with":[56],"better":[57],"ergodicity;":[58],"second,":[59],"The":[60,117,131],"elite":[61],"search":[62,97],"base":[63],"used":[66],"improve":[68],"global":[70],"ability":[72,98],"and":[76,99,143],"increase":[77],"probability":[79],"jumping":[81],"out":[82],"extreme":[86],"value;":[87],"Finally,":[88],"by":[89],"introducing":[90],"an":[91],"adaptive":[92],"variable":[93],"speed":[94],"strategy,":[95],"development":[100],"capabilities":[101],"are":[107],"effectively":[108],"coordinated":[109],"while":[110],"retaining":[111],"advantages":[113],"algorithm.":[116],"tested":[123],"against":[124],"other":[125,145],"algorithms":[126,147],"10":[128],"benchmark":[129],"functions.":[130],"final":[132],"results":[133],"demonstrate":[134],"effectiveness":[136],"HWOA":[139],"improvement":[141,146],"outperforms":[144],"effectiveness.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
