{"id":"https://openalex.org/W2050461952","doi":"https://doi.org/10.1109/cec.2014.6900268","title":"A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization","display_name":"A population diversity maintaining strategy based on dynamic environment evolutionary model for dynamic multiobjective optimization","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2050461952","doi":"https://doi.org/10.1109/cec.2014.6900268","mag":"2050461952"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2014.6900268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","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/A5101893206","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0003-3590-5275"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhou Peng","raw_affiliation_strings":["College of Information Engineering, Xiangtan University, Xiangtan, China","College of Information Engineering Xiangtan University,Xiangtan,China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Information Engineering Xiangtan University,Xiangtan,China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102005399","display_name":"Jinhua Zheng","orcid":"https://orcid.org/0000-0003-1989-5150"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Zheng","raw_affiliation_strings":["College of Information Engineering, Xiangtan University, Xiangtan, China","College of Information Engineering Xiangtan University,Xiangtan,China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Information Engineering Xiangtan University,Xiangtan,China","institution_ids":["https://openalex.org/I4610292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000736157","display_name":"Juan Zou","orcid":"https://orcid.org/0000-0001-5115-4040"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Zou","raw_affiliation_strings":["College of Information Engineering, Xiangtan University, Xiangtan, China","College of Information Engineering Xiangtan University,Xiangtan,China"],"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]},{"raw_affiliation_string":"College of Information Engineering Xiangtan University,Xiangtan,China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101893206"],"corresponding_institution_ids":["https://openalex.org/I4610292"],"apc_list":null,"apc_paid":null,"fwci":1.7804,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.84939988,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"281"},"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":0.9997000098228455,"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":0.9958000183105469,"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/population","display_name":"Population","score":0.7309287786483765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7043230533599854},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.664297878742218},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5174604058265686},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.510384738445282},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.45080631971359253},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43829232454299927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4056607186794281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2794206738471985},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1593397557735443}],"concepts":[{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.7309287786483765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7043230533599854},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.664297878742218},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5174604058265686},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.510384738445282},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.45080631971359253},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43829232454299927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4056607186794281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2794206738471985},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1593397557735443},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2014.6900268","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2014.6900268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5099999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W186947107","https://openalex.org/W1496765098","https://openalex.org/W1553373771","https://openalex.org/W1574490530","https://openalex.org/W1581435576","https://openalex.org/W1968173975","https://openalex.org/W1971275332","https://openalex.org/W1972319095","https://openalex.org/W1978370034","https://openalex.org/W1997600725","https://openalex.org/W2062518669","https://openalex.org/W2071694551","https://openalex.org/W2126105956","https://openalex.org/W2128736180","https://openalex.org/W2135236309","https://openalex.org/W2137130066","https://openalex.org/W2139848708","https://openalex.org/W2140886193","https://openalex.org/W2142844925","https://openalex.org/W2147573707","https://openalex.org/W2151838272","https://openalex.org/W2168314961","https://openalex.org/W6634354838","https://openalex.org/W6634607216","https://openalex.org/W6642225865","https://openalex.org/W6679039512","https://openalex.org/W6680637750","https://openalex.org/W6682138084"],"related_works":["https://openalex.org/W4318426920","https://openalex.org/W2055791821","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2153873031","https://openalex.org/W570431388","https://openalex.org/W2637862190","https://openalex.org/W2145877535"],"abstract_inverted_index":{"Maintaining":[0],"population":[1,30,38,76,118,140],"diversity":[2,31,77,141],"is":[3,86,100],"a":[4,75,92,98],"crucial":[5],"issue":[6],"for":[7,181],"the":[8,23,37,43,49,56,65,106,111,127,132,146,150,176,179],"performance":[9],"of":[10,26,58,67,105,149,178],"dynamic":[11,17,59,82,93,107,184],"multiobjective":[12,18],"optimization":[13],"algorithms.":[14],"However":[15],"traditional":[16],"evolutionary":[19,84,95],"algorithms":[20,54],"usually":[21],"imitate":[22],"biological":[24],"evolution":[25,148],"their":[27],"own,":[28],"maintain":[29],"through":[32],"different":[33,112],"strategies":[34,161],"and":[35,69,114,120,124,129,152],"make":[36],"be":[39],"able":[40],"to":[41,64,109],"track":[42],"Pareto":[44],"optimal":[45],"solution":[46],"set":[47],"after":[48,121],"change":[50,99],"efficiently.":[51],"Nevertheless,":[52],"these":[53],"neglect":[55],"role":[57],"environment":[60,83,94,108,151],"in":[61,125,134],"evolution,":[62],"lead":[63],"lacking":[66],"active":[68],"instructional":[70],"search.":[71],"In":[72],"this":[73],"paper,":[74],"maintaining":[78],"strategy":[79,90],"based":[80],"on":[81,162],"model":[85,96,138],"proposed":[87],"(DEE-PDMS).":[88],"This":[89],"builds":[91],"when":[97],"detected,":[101],"which":[102],"makes":[103,145],"use":[104],"record":[110],"knowledge":[113,128],"information":[115,130],"generated":[116],"by":[117,142],"before":[119],"environmental":[122],"change,":[123],"turn":[126],"guide":[131],"search":[133],"new":[135],"environment.":[136],"The":[137],"enhances":[139],"guided":[143],"fashion,":[144],"simultaneous":[147],"population.":[153],"A":[154],"comparison":[155],"study":[156],"with":[157,166,183],"other":[158],"two":[159],"state-of-the-art":[160],"five":[163],"test":[164],"problems":[165],"linear":[167],"or":[168],"nonlinear":[169],"correlation":[170],"between":[171],"design":[172],"variables":[173],"has":[174],"shown":[175],"effectiveness":[177],"DEE-PDMS":[180],"dealing":[182],"environments.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
