{"id":"https://openalex.org/W7224117491","doi":"https://doi.org/10.48550/arxiv.2610.37329","title":"WCC: A Learning-Based Framework for Deciding When to Apply Cooperative Coevolution in Large-Scale Optimization","display_name":"WCC: A Learning-Based Framework for Deciding When to Apply Cooperative Coevolution in Large-Scale Optimization","publication_year":2026,"publication_date":"2026-10-27","ids":{"openalex":"https://openalex.org/W7224117491","doi":"https://doi.org/10.48550/arxiv.2610.37329"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2610.37329","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.37329","pdf_url":"https://arxiv.org/pdf/2610.37329","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2610.37329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028880478","display_name":"Wenjie Qiu","orcid":"https://orcid.org/0000-0001-8724-1170","observed_orcids":["https://orcid.org/0000-0001-8724-1170","https://orcid.org/0009-0003-2469-8001"]},"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":"Qiu, Wenjie","raw_affiliation_strings":["School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159998341","display_name":"Hepei Li","orcid":null,"observed_orcids":[]},"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"]},{"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","KR"],"is_corresponding":false,"raw_author_name":"Li, Hepei","raw_affiliation_strings":["School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","with Hanyang University ERICA , Ansan 15588 , South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"with Hanyang University ERICA , Ansan 15588 , South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160009942","display_name":"Jianfeng Wang","orcid":null,"observed_orcids":[]},"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/I9086337","display_name":"Taiyuan University of Technology","ror":"https://ror.org/03kv08d37","country_code":"CN","type":"education","lineage":["https://openalex.org/I9086337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang, Jianfeng","raw_affiliation_strings":["School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","Taiyuan University of Technology , Taiyuan 030024 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Taiyuan University of Technology , Taiyuan 030024 , China","institution_ids":["https://openalex.org/I9086337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5160026395","display_name":"Jun Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhang, Jun","raw_affiliation_strings":["is with Nankai University , Tianjin 300350 , China, and also"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"is with Nankai University , Tianjin 300350 , China, and also","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5159995034","display_name":"Yue-Jiao Gong","orcid":null,"observed_orcids":[]},"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":"Gong, Yue-Jiao","raw_affiliation_strings":["School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering , South China University of Technol- ogy , Guangzhou 510006 , China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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":0.9829000234603882,"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":0.9829000234603882,"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":0.007799999788403511,"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":0.002300000051036477,"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/cooperative-coevolution","display_name":"cooperative coevolution","score":1.0},{"id":"https://openalex.org/keywords/large-scale-global-optimization","display_name":"large-scale global optimization","score":0.9959999918937683},{"id":"https://openalex.org/keywords/learning-based-decision-making","display_name":"learning-based decision making","score":0.531000018119812},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.9210000038146973},{"id":"https://openalex.org/keywords/algorithm-selection","display_name":"algorithm selection","score":0.503000020980835},{"id":"https://openalex.org/keywords/computational-budget-allocation","display_name":"computational budget allocation","score":0.7329999804496765},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"meta-optimization","score":0.546999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6757000088691711},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.6345999836921692},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5591999888420105},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5370000004768372},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5001999735832214},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4627000093460083},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45739999413490295},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4309000074863434},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4307999908924103},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4251999855041504},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4244000017642975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3831999897956848},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3264999985694885},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.28110000491142273},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.2711000144481659}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2610.37329","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.37329","pdf_url":"https://arxiv.org/pdf/2610.37329","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2610.37329","doi":"https://doi.org/10.48550/arxiv.2610.37329","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2610.37329","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,"listed_in":[],"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"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2610.37329","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2610.37329","pdf_url":"https://arxiv.org/pdf/2610.37329","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,"listed_in":[],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224117491.pdf","grobid_xml":"https://content.openalex.org/works/W7224117491.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4415307688","https://openalex.org/W7148672502","https://openalex.org/W2539969713","https://openalex.org/W2092780738","https://openalex.org/W2036211146","https://openalex.org/W2561899334","https://openalex.org/W1967103026","https://openalex.org/W4400412359","https://openalex.org/W3158324057","https://openalex.org/W3210964419"],"abstract_inverted_index":{"Cooperative":[0],"Coevolution":[1],"(CC)":[2],"and":[3,29,88,104,119,134,141,148,174],"Non-Decomposition":[4],"Algorithms":[5],"(NDAs)":[6],"are":[7],"two":[8],"primary":[9],"approaches":[10],"for":[11,67],"large-scale":[12],"global":[13],"optimization":[14,105,139],"(LSGO).":[15],"Although":[16],"both":[17],"have":[18],"achieved":[19],"success,":[20],"they":[21],"exhibit":[22],"markedly":[23],"different":[24],"performance":[25],"across":[26,137],"problem":[27,102],"types":[28],"each":[30],"faces":[31],"approach-specific":[32],"limitations,":[33],"leaving":[34],"the":[35,73,95,101,124],"question":[36],"of":[37],"\"when":[38],"to":[39,57,93,112,176],"use":[40],"CC\"":[41],"unresolved.":[42],"We":[43,71],"address":[44],"this":[45],"gap":[46],"with":[47,97],"WCC,":[48],"a":[49,64,76,81,85,89,146,152],"novel":[50],"learning-based":[51],"framework":[52],"that":[53],"dynamically":[54],"decides":[55],"when":[56,173],"deploy":[58,178],"CC":[59,118],"in":[60],"LSGO.":[61],"WCC":[62,111,130],"employs":[63],"streamlined":[65],"design":[66],"efficient":[68],"adaptive":[69],"learning.":[70],"formulate":[72],"decision":[74,78],"as":[75],"Markov":[77],"process,":[79],"designing":[80],"targeted":[82],"feature":[83],"set,":[84],"robust":[86],"reward,":[87],"tailored":[90],"network":[91],"architecture":[92],"provide":[94],"agent":[96],"rich":[98],"information":[99],"about":[100],"state":[103],"progress.":[106],"Our":[107],"auto-regressive":[108],"policy":[109],"enables":[110],"perform":[113],"fine-grained,":[114],"dynamic":[115],"switching":[116],"between":[117],"NDAs":[120],"while":[121],"conditionally":[122],"allocating":[123],"computational":[125],"budget":[126],"without":[127],"expert":[128],"specifications.":[129],"shows":[131],"strong":[132],"competitiveness":[133],"superior":[135],"generalization":[136],"problems,":[138],"horizons,":[140],"baseline":[142],"optimizers.":[143],"It":[144],"realizes":[145],"\"train-once":[147],"reuse\"":[149],"paradigm":[150],"under":[151],"low":[153],"budget,":[154],"significantly":[155],"curbing":[156],"LSGO":[157],"cost.":[158],"Additionally,":[159],"in-depth":[160],"analyses":[161],"yield":[162],"insights":[163],"not":[164],"captured":[165],"by":[166],"existing":[167],"theory,":[168],"offering":[169],"practical":[170],"guidance":[171],"on":[172],"how":[175],"effectively":[177],"CC.":[179]},"counts_by_year":[],"updated_date":"2026-11-06T12:05:46.655746","created_date":"2026-10-29T00:00:00"}