{"id":"https://openalex.org/W4285805532","doi":"https://doi.org/10.1145/3520304.3528784","title":"Distributed evolution strategies for large-scale optimization","display_name":"Distributed evolution strategies for large-scale optimization","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805532","doi":"https://doi.org/10.1145/3520304.3528784"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3528784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528784","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5089014957","display_name":"Qiqi Duan","orcid":"https://orcid.org/0000-0002-4518-1701"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiqi Duan","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China and Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China and Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027752988","display_name":"Guochen Zhou","orcid":"https://orcid.org/0000-0003-3551-5672"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guochen Zhou","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100965569","display_name":"Chang Shao","orcid":"https://orcid.org/0000-0002-1065-3537"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chang Shao","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054969834","display_name":"Yijun Yang","orcid":"https://orcid.org/0000-0002-9243-6228"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yijun Yang","raw_affiliation_strings":["University of Technology Sydney, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000919145","display_name":"Yuhui Shi","orcid":"https://orcid.org/0000-0002-8840-723X"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Shi","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089014957"],"corresponding_institution_ids":["https://openalex.org/I204983213","https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.2079,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.39350356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"395","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9994000196456909,"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":0.9983999729156494,"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":0.7830978631973267},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.7167758941650391},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6851567029953003},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4889051020145416},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.48059627413749695},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.45450761914253235},{"id":"https://openalex.org/keywords/distributed-memory","display_name":"Distributed memory","score":0.42395728826522827},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4223775863647461},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4210619330406189},{"id":"https://openalex.org/keywords/shared-memory","display_name":"Shared memory","score":0.27424561977386475},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.15450575947761536},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1199038028717041}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7830978631973267},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.7167758941650391},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6851567029953003},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4889051020145416},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.48059627413749695},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.45450761914253235},{"id":"https://openalex.org/C91481028","wikidata":"https://www.wikidata.org/wiki/Q1054686","display_name":"Distributed memory","level":3,"score":0.42395728826522827},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4223775863647461},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4210619330406189},{"id":"https://openalex.org/C133875982","wikidata":"https://www.wikidata.org/wiki/Q764810","display_name":"Shared memory","level":2,"score":0.27424561977386475},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.15450575947761536},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1199038028717041},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3528784","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3520304.3528784","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1811783540","display_name":null,"funder_award_id":"JCYJ20200109141235597","funder_id":"https://openalex.org/F4320329791","funder_display_name":"Shenzhen Fundamental Research Program"},{"id":"https://openalex.org/G3814908347","display_name":null,"funder_award_id":"KQTD2016112514355531","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"}],"funders":[{"id":"https://openalex.org/F4320329791","display_name":"Shenzhen Fundamental Research Program","ror":null},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W101715343","https://openalex.org/W1576660662","https://openalex.org/W1973441240","https://openalex.org/W2037348091","https://openalex.org/W2065359639","https://openalex.org/W2112036188","https://openalex.org/W2122444597","https://openalex.org/W2151554678","https://openalex.org/W2203804281","https://openalex.org/W2592891920","https://openalex.org/W2766293931","https://openalex.org/W2780624097","https://openalex.org/W2845268560","https://openalex.org/W3007384386","https://openalex.org/W3081439660","https://openalex.org/W4206840466","https://openalex.org/W4247067162","https://openalex.org/W6681946008"],"related_works":["https://openalex.org/W1579744901","https://openalex.org/W1492325323","https://openalex.org/W2510724351","https://openalex.org/W3087341323","https://openalex.org/W2465356436","https://openalex.org/W2552260697","https://openalex.org/W2592891920","https://openalex.org/W2168924884","https://openalex.org/W2508241630","https://openalex.org/W2072153706"],"abstract_inverted_index":{"As":[0],"their":[1],"underlying":[2],"models":[3],"are":[4],"becoming":[5],"larger":[6],"and":[7,113],"data-driven,":[8],"an":[9],"increasing":[10],"number":[11],"of":[12,66,77,90,99,132],"modern":[13],"real-world":[14],"applications":[15],"can":[16],"be":[17],"mathematically":[18],"formulated":[19],"as":[20],"large-scale":[21,35],"continuous":[22],"optimization.":[23],"In":[24,50],"this":[25],"paper,":[26],"we":[27],"propose":[28],"a":[29,108],"distributed":[30,60],"evolution":[31],"strategy":[32,120],"(DES)":[33],"for":[34],"black-box":[36],"optimization":[37],"(specifically":[38],"with":[39],"memory-costly":[40],"function":[41,67],"evaluations),":[42],"running":[43],"on":[44,130],"the":[45,54,59,73,81,96,100],"mainstream":[46],"clustering":[47],"computing":[48,75],"platform.":[49],"order":[51],"to":[52,63,85],"amortize":[53],"memory":[55,62],"cost,":[56],"DES":[57,79,115],"utilizes":[58],"shared":[61],"support":[64],"parallelism":[65],"evaluations.":[68],"For":[69,107],"better":[70],"fitting":[71],"into":[72],"scalable":[74],"architecture":[76],"interest,":[78],"adopts":[80],"well-known":[82],"island":[83],"model":[84],"distribute":[86],"one":[87],"low-rank":[88],"version":[89],"covariance":[91],"matrix":[92],"adaptation":[93],"(CMA),":[94],"because":[95],"quadratic":[97],"complexity":[98],"standard":[101],"CMA":[102],"is":[103],"not":[104],"well":[105],"scalable.":[106],"proper":[109],"trade-off":[110],"between":[111],"exploration":[112],"exploitation,":[114],"needs":[116],"to,":[117],"on-the-fly,":[118],"adjust":[119],"parameters":[121],"at":[122],"two":[123],"time-scale":[124],"levels.":[125],"Experiments":[126],"show":[127],"its":[128],"efficiency":[129],"most":[131],"test":[133],"functions":[134],"chosen.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}