乐胖代购免代理版

{"id":"https://openalex.org/W2588587267","doi":"https://doi.org/10.1109/ssci.2016.7850209","title":"A self-adaptive similarity-based fitness approximation for evolutionary optimization","display_name":"A self-adaptive similarity-based fitness approximation for evolutionary optimization","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2588587267","doi":"https://doi.org/10.1109/ssci.2016.7850209","mag":"2588587267"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850209","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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/A5054226259","display_name":"Jie Tian","orcid":"https://orcid.org/0000-0002-1791-2079"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]},{"id":"https://openalex.org/I4210151294","display_name":"Shandong Women\u2019s University","ror":"https://ror.org/03rp8h078","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151294"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Jie Tian","raw_affiliation_strings":["College of Information Technology, Shandong Womens University, Jinan, China","Division of Industrial and System Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Division of Industrial and System Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"College of Information Technology, Shandong Womens University, Jinan, China","institution_ids":["https://openalex.org/I4210151294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024341715","display_name":"Yin Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"funder","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Yin Tan","raw_affiliation_strings":["Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]},{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083616531","display_name":"Chaoli Sun","orcid":"https://orcid.org/0000-0002-8011-8222"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"funder","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"None Chaoli Sun","raw_affiliation_strings":["Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","Department of Computer Science, University of Surrey, Guildford, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Surrey, Guildford, UK","institution_ids":["https://openalex.org/I28290843"]},{"raw_affiliation_string":"Department of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101607166","display_name":"Jianchao Zeng","orcid":"https://orcid.org/0000-0001-5319-0635"},"institutions":[{"id":"https://openalex.org/I46305995","display_name":"Taiyuan University of Science and Technology","ror":"https://ror.org/01wcbdc92","country_code":"CN","type":"education","lineage":["https://openalex.org/I46305995"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Jianchao Zeng","raw_affiliation_strings":["Division of Industrial and System Engineering, Taiyuan University of Science and Technology, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"Division of Industrial and System Engineering, Taiyuan University of Science and Technology, Taiyuan, China","institution_ids":["https://openalex.org/I46305995"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"funder","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["School of Computer Science and Control Engineering, North University of China, Taiyuan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Control Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.655,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":10,"citation_normalized_percentile":{"value":0.732709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"201212","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9997,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9996,"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":0.9989,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fitness-approximation","display_name":"Fitness approximation","score":0.8313509},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7650727},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.61786556},{"id":"https://openalex.org/keywords/inheritance","display_name":"Inheritance","score":0.4517533},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.4435157}],"concepts":[{"id":"https://openalex.org/C148392497","wikidata":"https://www.wikidata.org/wiki/Q16250539","display_name":"Fitness approximation","level":4,"score":0.8313509},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7650727},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.6697999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.66602665},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6519534},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.61786556},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5574945},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5501875},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.47220048},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45950127},{"id":"https://openalex.org/C2780902518","wikidata":"https://www.wikidata.org/wiki/Q6033780","display_name":"Inheritance (genetic algorithm)","level":3,"score":0.4517533},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.4435157},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.39585993},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39244756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23151702},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2016.7850209","pdf_url":null,"source":{"id":"https://openalex.org/S4363604921","display_name":"2021 IEEE Symposium Series on Computational Intelligence (SSCI)","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":39,"referenced_works":["https://openalex.org/W117029714","https://openalex.org/W1497465174","https://openalex.org/W1520622896","https://openalex.org/W1544408835","https://openalex.org/W1547938166","https://openalex.org/W176819630","https://openalex.org/W1913944305","https://openalex.org/W1933385826","https://openalex.org/W1981388088","https://openalex.org/W1986302819","https://openalex.org/W1999166304","https://openalex.org/W2000503034","https://openalex.org/W2008486225","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2013695155","https://openalex.org/W2031569136","https://openalex.org/W2034337422","https://openalex.org/W2059321571","https://openalex.org/W2067023166","https://openalex.org/W2074959697","https://openalex.org/W2082228576","https://openalex.org/W2083692504","https://openalex.org/W2084253837","https://openalex.org/W2085697434","https://openalex.org/W2092582887","https://openalex.org/W2100027731","https://openalex.org/W2107660364","https://openalex.org/W2121379050","https://openalex.org/W2127400268","https://openalex.org/W2135109477","https://openalex.org/W2139055047","https://openalex.org/W2154411958","https://openalex.org/W2166572604","https://openalex.org/W2166739626","https://openalex.org/W2166861428","https://openalex.org/W2917884856","https://openalex.org/W39808511","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2164084664","https://openalex.org/W2159937791","https://openalex.org/W2138958036","https://openalex.org/W2036107212","https://openalex.org/W2012451526","https://openalex.org/W192154461","https://openalex.org/W1634842376","https://openalex.org/W1606502848","https://openalex.org/W1591022951","https://openalex.org/W1583704618"],"abstract_inverted_index":{"Evolutionary":[0],"algorithms":[1,120],"used":[2],"to":[3,10,38,56,63,117],"solve":[4],"complex":[5],"optimization":[6],"problems":[7,78],"usually":[8],"need":[9],"perform":[11],"a":[12,28,34,122],"large":[13],"number":[14],"of":[15,51,67,103],"fitness":[16,35,42,70],"function":[17],"evaluations,":[18],"which":[19,47],"often":[20],"requires":[21],"huge":[22],"computational":[23,124],"overhead.":[24],"This":[25],"paper":[26],"proposes":[27],"self-adaptive":[29],"similarity-based":[30],"surrogate":[31],"model":[32],"as":[33],"inheritance":[36,69],"strategy":[37],"reduce":[39],"computationally":[40],"expensive":[41],"evaluations.":[43],"Gaussian":[44],"similarity":[45,60],"measurement,":[46],"considers":[48],"the":[49,52,59,65,68,89,98,104,118],"ruggedness":[50],"landscape,":[53],"is":[54],"proposed":[55,105],"adaptively":[57],"regulate":[58],"in":[61,107],"order":[62],"improve":[64],"accuracy":[66],"values.":[71],"Empirical":[72],"results":[73],"on":[74,88],"three":[75],"traditional":[76],"benchmark":[77],"with":[79,93],"5,":[80],"10,":[81],"20,":[82],"and":[83,87,101],"30":[84,94],"decision":[85,95],"variables":[86,96],"CEC'13":[90],"test":[91],"functions":[92],"demonstrate":[97],"high":[99],"efficiency":[100],"effectiveness":[102],"algorithm":[106],"that":[108],"it":[109],"can":[110],"obtain":[111],"better":[112],"or":[113],"competitive":[114],"solutions":[115],"compared":[116],"state-of-the-art":[119],"under":[121],"limited":[123],"budget.":[125]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2588587267","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2025-04-24T15:03:50.301939","created_date":"2017-02-24"}