{"id":"https://openalex.org/W3009021382","doi":"https://doi.org/10.1109/access.2020.2974324","title":"A Shift Vector Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Dynamic Optimization","display_name":"A Shift Vector Guided Multiobjective Evolutionary Algorithm Based on Decomposition for Dynamic Optimization","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3009021382","doi":"https://doi.org/10.1109/access.2020.2974324","mag":"3009021382"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.2974324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000598.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000598.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008594133","display_name":"Zhen Zhu","orcid":"https://orcid.org/0000-0002-5029-7004"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhen Zhu","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002755341","display_name":"Xiang Tian","orcid":"https://orcid.org/0000-0001-5507-8284"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Tian","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004798096","display_name":"Changgao Xia","orcid":"https://orcid.org/0000-0003-3861-4000"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changgao Xia","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630554","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-2079-3867"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057276700","display_name":"Yingfeng Cai","orcid":"https://orcid.org/0000-0002-0633-9887"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingfeng Cai","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008594133"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7226,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75850148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"8","issue":null,"first_page":"38391","last_page":"38403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9972000122070312,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9758999943733215,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.651533305644989},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6051509380340576},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6032803654670715},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.55971360206604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5426183342933655},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48972347378730774},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4851022958755493},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.45367807149887085},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4484533965587616},{"id":"https://openalex.org/keywords/state-vector","display_name":"State vector","score":0.44314101338386536},{"id":"https://openalex.org/keywords/scalar","display_name":"Scalar (mathematics)","score":0.43726515769958496},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3083873391151428}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.651533305644989},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6051509380340576},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6032803654670715},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.55971360206604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5426183342933655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48972347378730774},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4851022958755493},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.45367807149887085},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4484533965587616},{"id":"https://openalex.org/C2777798563","wikidata":"https://www.wikidata.org/wiki/Q7603916","display_name":"State vector","level":2,"score":0.44314101338386536},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.43726515769958496},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3083873391151428},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.2974324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000598.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d50269a5008c433d9c2731c22e2ea33f","is_oa":true,"landing_page_url":"https://doaj.org/article/d50269a5008c433d9c2731c22e2ea33f","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 38391-38403 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.2974324","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.2974324","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09000598.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6600000262260437,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G128182909","display_name":null,"funder_award_id":"U1764257","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1763735783","display_name":null,"funder_award_id":"BK20180100","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G1845686225","display_name":null,"funder_award_id":"2018010","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2082826544","display_name":null,"funder_award_id":"Postdoctoral","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2493017247","display_name":null,"funder_award_id":"2016-1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2737840808","display_name":null,"funder_award_id":"2018M632247","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G2820306759","display_name":null,"funder_award_id":"51805222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2856931050","display_name":null,"funder_award_id":"BK20180100","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6353918776","display_name":null,"funder_award_id":"2016-1094","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6721909089","display_name":null,"funder_award_id":"201801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G685598881","display_name":null,"funder_award_id":"K201801","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324856","display_name":"Southeast University","ror":"https://ror.org/04ct4d772"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3009021382.pdf","grobid_xml":"https://content.openalex.org/works/W3009021382.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1574490530","https://openalex.org/W1594730230","https://openalex.org/W1662894842","https://openalex.org/W1968173975","https://openalex.org/W1992666580","https://openalex.org/W1998898918","https://openalex.org/W2011048370","https://openalex.org/W2062061003","https://openalex.org/W2062518669","https://openalex.org/W2073478661","https://openalex.org/W2083457599","https://openalex.org/W2087376002","https://openalex.org/W2097366597","https://openalex.org/W2105529970","https://openalex.org/W2126105956","https://openalex.org/W2140886193","https://openalex.org/W2142844925","https://openalex.org/W2143381319","https://openalex.org/W2147058979","https://openalex.org/W2147573707","https://openalex.org/W2150046657","https://openalex.org/W2151838272","https://openalex.org/W2156106639","https://openalex.org/W2159126105","https://openalex.org/W2249417348","https://openalex.org/W2289412930","https://openalex.org/W2319729710","https://openalex.org/W2326149522","https://openalex.org/W2343489328","https://openalex.org/W2343601797","https://openalex.org/W2344134522","https://openalex.org/W2419125634","https://openalex.org/W2484930447","https://openalex.org/W2519112510","https://openalex.org/W2583496274","https://openalex.org/W2612032753","https://openalex.org/W2752455195","https://openalex.org/W2763601085","https://openalex.org/W2883868302","https://openalex.org/W2903182729","https://openalex.org/W2941761872","https://openalex.org/W2954266122","https://openalex.org/W2954424132","https://openalex.org/W3099100043","https://openalex.org/W6681780030","https://openalex.org/W6726862083"],"related_works":["https://openalex.org/W2751605210","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283","https://openalex.org/W2891428731","https://openalex.org/W1967262321","https://openalex.org/W2022485595"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,34,54,90,103],"novel":[4],"algorithm":[5,22,131,153],"to":[6,27,76,88],"deal":[7],"with":[8,166],"dynamic":[9,158],"multiobjective":[10,30,129],"optimization":[11,31,38],"problems,":[12],"in":[13,47,106,156],"which":[14,67],"the":[15,24,29,85,95,99,107,114,118,128,137,140,144],"objective":[16],"functions":[17],"change":[18],"over":[19,57],"time.":[20,58],"The":[21,81],"adopts":[23],"decomposition":[25,134],"framework":[26],"decompose":[28],"problems":[32],"into":[33],"number":[35],"of":[36,73,98],"scalar":[37],"subproblems.":[39],"For":[40],"each":[41,74],"subproblem,":[42],"its":[43],"respective":[44],"solutions":[45,72,142,160],"obtained":[46],"several":[48],"former":[49],"consecutive":[50],"environments":[51],"can":[52],"form":[53],"moving":[55],"trajectory":[56],"A":[59],"shift":[60,79,82,92,121],"vector":[61,93],"guided":[62],"prediction":[63],"model":[64],"is":[65,110,154],"proposed,":[66],"samples":[68],"three":[69],"intermediately":[70],"previous":[71],"subproblem":[75],"construct":[77],"two":[78],"vectors.":[80],"vectors":[83],"use":[84],"weighted":[86],"summation":[87],"generate":[89],"new":[91,104],"as":[94],"forthcoming":[96],"motion":[97],"target":[100],"solution.":[101],"Then":[102],"location":[105,116],"later":[108],"environment":[109],"estimated":[111],"based":[112,132],"on":[113,133],"current":[115],"and":[117,161],"newly":[119],"generated":[120],"vector.":[122],"When":[123],"detecting":[124],"an":[125],"environmental":[126],"change,":[127],"evolutionary":[130],"will":[135],"update":[136],"population":[138],"using":[139],"predicted":[141],"by":[143],"proposed":[145,152],"model.":[146],"Empirical":[147],"results":[148],"demonstrate":[149],"that":[150],"our":[151],"effective":[155],"tracking":[157],"optimal":[159],"shows":[162],"great":[163],"superiority":[164],"comparing":[165],"state-of-the-art":[167],"methods.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}
