乐胖代购免代理版

{"id":"https://openalex.org/W2557823539","doi":"https://doi.org/10.1109/cec.2016.7744172","title":"Sampling in latent space for a mulitiobjective estimation of distribution algorithm","display_name":"Sampling in latent space for a mulitiobjective estimation of distribution algorithm","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2557823539","doi":"https://doi.org/10.1109/cec.2016.7744172","mag":"2557823539"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744172","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5070115448","display_name":"Bing Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"funder","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Dong","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050248676","display_name":"Aimin Zhou","orcid":"https://orcid.org/0000-0002-4768-5946"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"funder","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aimin Zhou","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"funder","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["Department of Computer Science and Technology, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":3,"citation_normalized_percentile":{"value":0.40294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":77,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"3027","last_page":"3034"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9989,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9989,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.995,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9888,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.61540705},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.55976766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5027139},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.4505407},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.42660525},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4223541},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.42127118},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2557016},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09209916},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05586785},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744172","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":26,"referenced_works":["https://openalex.org/W1540706608","https://openalex.org/W1581487892","https://openalex.org/W1595159159","https://openalex.org/W1833634424","https://openalex.org/W1853444542","https://openalex.org/W1918283942","https://openalex.org/W1938049985","https://openalex.org/W1998674867","https://openalex.org/W2020320008","https://openalex.org/W2034339860","https://openalex.org/W2038420231","https://openalex.org/W2052367557","https://openalex.org/W2074555546","https://openalex.org/W2098907614","https://openalex.org/W2108968575","https://openalex.org/W2119464724","https://openalex.org/W2126105956","https://openalex.org/W2131476630","https://openalex.org/W2140886193","https://openalex.org/W2143381319","https://openalex.org/W2144982506","https://openalex.org/W2150046657","https://openalex.org/W2156194072","https://openalex.org/W2414365832","https://openalex.org/W3137715965","https://openalex.org/W4292408320"],"related_works":["https://openalex.org/W2547072840","https://openalex.org/W2496664933","https://openalex.org/W2392913753","https://openalex.org/W2376443952","https://openalex.org/W2367801827","https://openalex.org/W2096498780","https://openalex.org/W2064682937","https://openalex.org/W2053360669","https://openalex.org/W1982259447","https://openalex.org/W1503012231"],"abstract_inverted_index":{"A":[0],"regularity":[1],"model-based":[2],"multiobjective":[3,14],"estimation":[4],"of":[5,31,59,87,110],"distribution":[6],"algorithm":[7],"(RM-MEDA)":[8],"has":[9],"been":[10],"proposed":[11],"for":[12,81],"continuous":[13],"optimization":[15],"problems.":[16],"Generating":[17],"promising":[18,97],"solutions":[19,90],"to":[20,26,40,50,65,95,115],"approximate":[21],"the":[22,29,44,52,57,60,85,88,92,107,111,116],"population":[23],"is":[24,48,63],"significant":[25,108],"RM-MEDA.":[27,82],"In":[28],"reproduction":[30],"RM-MEDA,":[32],"it":[33],"adopts":[34],"a":[35,74],"Latin":[36,117],"square":[37,118],"design":[38],"strategy":[39],"sample":[41],"points":[42],"in":[43,91],"latent":[45,93],"space":[46,94],"that":[47],"extended":[49],"cover":[51],"whole":[53],"Pareto":[54],"set.":[55],"However,":[56],"setting":[58],"extension":[61],"scale":[62],"problem-dependent":[64],"some":[66],"extent.":[67],"To":[68],"circumvent":[69],"this":[70],"issue,":[71],"we":[72],"propose":[73],"differential":[75],"evolution":[76],"based":[77],"sampling":[78],"(DES)":[79],"scheme":[80,113],"DES":[83,112],"mutates":[84],"projections":[86],"parent":[89],"generate":[96],"candidate":[98],"offspring":[99],"solutions.":[100],"The":[101],"empirical":[102],"experiment":[103],"results":[104],"have":[105],"shown":[106],"advantages":[109],"comparing":[114],"design.":[119]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2557823539","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-04-21T16:14:44.062739","created_date":"2016-12-08"}