{"id":"https://openalex.org/W4309344241","doi":"https://doi.org/10.1109/smc53654.2022.9945083","title":"Can Big Population Always Bring Better Optimization Ability to Evolutionary Computation for Large-Scale Optimization?","display_name":"Can Big Population Always Bring Better Optimization Ability to Evolutionary Computation for Large-Scale Optimization?","publication_year":2022,"publication_date":"2022-10-09","ids":{"openalex":"https://openalex.org/W4309344241","doi":"https://doi.org/10.1109/smc53654.2022.9945083"},"language":"en","primary_location":{"id":"doi:10.1109/smc53654.2022.9945083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945083","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-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/A5051626112","display_name":"Jun-Rong Jian","orcid":"https://orcid.org/0000-0003-1277-4516"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jun-Rong Jian","raw_affiliation_strings":["South China University of Technology,School of Computer Science and Engineering,Guangzhou,510006","Guangdong Provincial Key Lab of Computational Intelligence and Cyberspace Information, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Computer Science and Engineering,Guangzhou,510006","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab of Computational Intelligence and Cyberspace Information, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100667062","display_name":"Chunhua Chen","orcid":"https://orcid.org/0000-0002-4087-5309"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Hua Chen","raw_affiliation_strings":["South China University of Technology,School of Software Engineering,Guangzhou,P. R. China,510006"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Software Engineering,Guangzhou,P. R. China,510006","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407529","display_name":"Dong Liu","orcid":"https://orcid.org/0000-0003-3988-7879"},"institutions":[{"id":"https://openalex.org/I75955062","display_name":"Henan Normal University","ror":"https://ror.org/00s13br28","country_code":"CN","type":"education","lineage":["https://openalex.org/I75955062"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Liu","raw_affiliation_strings":["Henan Normal University,School of Computer and Information Engineering,Xinxiang,China,453007"],"affiliations":[{"raw_affiliation_string":"Henan Normal University,School of Computer and Information Engineering,Xinxiang,China,453007","institution_ids":["https://openalex.org/I75955062"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100400217","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0001-7835-9871"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["Hanyang University,Ansan,South Korea,15588"],"affiliations":[{"raw_affiliation_string":"Hanyang University,Ansan,South Korea,15588","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011145004","display_name":"Zhi\u2010Hui Zhan","orcid":"https://orcid.org/0000-0003-0862-0514"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi-Hui Zhan","raw_affiliation_strings":["South China University of Technology,School of Computer Science and Engineering,Guangzhou,510006","Guangdong Provincial Key Lab of Computational Intelligence and Cyberspace Information, Guangzhou, P. R. China"],"affiliations":[{"raw_affiliation_string":"South China University of Technology,School of Computer Science and Engineering,Guangzhou,510006","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Guangdong Provincial Key Lab of Computational Intelligence and Cyberspace Information, Guangzhou, P. R. China","institution_ids":["https://openalex.org/I4210098034"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051626112"],"corresponding_institution_ids":["https://openalex.org/I4210098034","https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12529627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":null,"first_page":"1468","last_page":"1475"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":1.0,"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":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9987999796867371,"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/computer-science","display_name":"Computer science","score":0.7332218885421753},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6983157992362976},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.694390058517456},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5915594100952148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5902194976806641},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5852664113044739},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.583061933517456},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5380672216415405},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4897632598876953},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4895387589931488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47305646538734436},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4725242257118225},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4654337465763092},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.46131277084350586},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4515756666660309},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42971259355545044},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38363274931907654},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.2950325310230255},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22229087352752686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12559238076210022}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7332218885421753},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6983157992362976},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.694390058517456},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5915594100952148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5902194976806641},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5852664113044739},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.583061933517456},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5380672216415405},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4897632598876953},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4895387589931488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47305646538734436},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4725242257118225},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4654337465763092},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.46131277084350586},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4515756666660309},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42971259355545044},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38363274931907654},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2950325310230255},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22229087352752686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12559238076210022},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc53654.2022.9945083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc53654.2022.9945083","pdf_url":null,"source":{"id":"https://openalex.org/S4363607746","display_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1995972800","https://openalex.org/W2109364787","https://openalex.org/W2121429049","https://openalex.org/W2140491475","https://openalex.org/W2145418868","https://openalex.org/W2156566884","https://openalex.org/W2507317295","https://openalex.org/W2740214879","https://openalex.org/W2791964734","https://openalex.org/W2803970949","https://openalex.org/W2895851783","https://openalex.org/W2901808438","https://openalex.org/W2904387011","https://openalex.org/W2912313333","https://openalex.org/W2963418938","https://openalex.org/W2973261831","https://openalex.org/W2974803302","https://openalex.org/W2977620944","https://openalex.org/W2979736100","https://openalex.org/W2981943969","https://openalex.org/W2987248529","https://openalex.org/W3004840523","https://openalex.org/W3012446350","https://openalex.org/W3013056622","https://openalex.org/W3048904406","https://openalex.org/W3083185154","https://openalex.org/W3095319910","https://openalex.org/W3111707114","https://openalex.org/W3124449569","https://openalex.org/W3124495982","https://openalex.org/W3128122525","https://openalex.org/W3138622452","https://openalex.org/W3153326479","https://openalex.org/W3184078521","https://openalex.org/W3184980526","https://openalex.org/W3201193708","https://openalex.org/W3208560513","https://openalex.org/W4213279801","https://openalex.org/W4220692473","https://openalex.org/W4220756809","https://openalex.org/W4220782488","https://openalex.org/W4223432987","https://openalex.org/W4226090570","https://openalex.org/W4226133142","https://openalex.org/W4226138216","https://openalex.org/W4285244731","https://openalex.org/W4285297595","https://openalex.org/W6683195961","https://openalex.org/W6780735040","https://openalex.org/W6794112486","https://openalex.org/W6801676030"],"related_works":["https://openalex.org/W4401797881","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W4254728455","https://openalex.org/W1551302182","https://openalex.org/W3038748417","https://openalex.org/W2391924736","https://openalex.org/W2155027171","https://openalex.org/W3133779647","https://openalex.org/W4251598402"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1,85],"(AI)":[2],"has":[3],"fast":[4],"developed":[5],"nowadays":[6],"especially":[7],"in":[8,52,64,130,203],"the":[9,16,21,27,56,78,88,107,136,160,175,178,192,199],"deep":[10,17],"learning":[11],"field":[12],"that":[13,189],"most":[14],"of":[15,68,81,177,201],"neural":[18],"networks":[19],"pursue":[20],"better":[22],"problem-solving":[23],"ability":[24],"by":[25,77,133],"making":[26],"network":[28],"models":[29],"deeper,":[30],"larger,":[31],"and":[32,38,83,96,151],"more":[33,92,97],"complex.":[34],"However,":[35],"too":[36,39,44],"large":[37,45],"complex":[40,98],"AI":[41,69],"algorithms/models":[42],"require":[43],"computational":[46],"burden,":[47],"which":[48,74],"is":[49,75],"not":[50,196],"reality":[51],"academic":[53],"researches":[54],"nor":[55],"right":[57],"way":[58],"to":[59,173],"real":[60],"human":[61],"intelligence.":[62],"Moreover,":[63],"another":[65],"research":[66],"branch":[67],"named":[70],"evolutionary":[71],"computation":[72],"(EC),":[73],"inspired":[76],"biological":[79],"evolution":[80],"nature":[82],"swarm":[84],"behaviours,":[86],"will":[87],"EC":[89,123,149],"algorithms":[90,124,143,150,180,202],"become":[91],"efficient":[93],"with":[94,181],"larger":[95],"algorithm":[99],"model":[100],"when":[101],"solving":[102,131,204],"complicated":[103],"optimization":[104,109,122,155],"problems":[105,110],"like":[106],"large-scale":[108,121,154],"(LSOPs)?":[111],"To":[112],"this":[113,115],"concern,":[114],"paper":[116],"investigates":[117],"whether":[118],"some":[119],"existing":[120],"can":[125],"further":[126],"improve":[127,198],"their":[128],"performance":[129,176,200],"LSOPs":[132,169],"only":[134],"increasing":[135,191],"population":[137,183,193],"size.":[138],"We":[139],"select":[140],"12":[141],"representative":[142],"for":[144],"investigation,":[145],"including":[146],"4":[147],"standard":[148],"8":[152],"well-known":[153],"algorithms.":[156],"Then,":[157],"we":[158],"adopt":[159],"widely-used":[161],"IEEE":[162],"Congress":[163],"on":[164],"Evolutionary":[165],"Computation":[166],"(CEC":[167],"2010)":[168],"benchmark":[170],"test":[171],"suite":[172],"compare":[174],"same":[179],"different":[182],"sizes.":[184],"The":[185],"experimental":[186],"results":[187],"show":[188],"simply":[190],"size":[194],"does":[195],"necessarily":[197],"LSOPs.":[205]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
