{"id":"https://openalex.org/W2558315443","doi":"https://doi.org/10.1109/cec.2016.7744133","title":"Knowledge-inducing MOEA/D for interval multi-objective optimization problems","display_name":"Knowledge-inducing MOEA/D for interval multi-objective optimization problems","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558315443","doi":"https://doi.org/10.1109/cec.2016.7744133","mag":"2558315443"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5058828628","display_name":"Yinan Guo","orcid":"https://orcid.org/0000-0002-4276-5410"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi-nan Guo","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042885658","display_name":"Jianwei Cheng","orcid":"https://orcid.org/0000-0003-4915-6295"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101908716","display_name":"Zhen Yang","orcid":"https://orcid.org/0000-0002-2347-2225"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031175011","display_name":"Wang Chun","orcid":"https://orcid.org/0000-0001-6994-0146"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun Wang","raw_affiliation_strings":["School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5058828628"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":0.3485,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6907607,"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":"2729","last_page":"2735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9801999926567078,"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/T12368","display_name":"Grey System Theory Applications","score":0.9610000252723694,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.7744779586791992},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6546456813812256},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6198322176933289},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5758286714553833},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5602418184280396},{"id":"https://openalex.org/keywords/differential-evolution","display_name":"Differential evolution","score":0.503727376461029},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4863329529762268},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.46845221519470215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4614409804344177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4350418150424957},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.43073445558547974}],"concepts":[{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.7744779586791992},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6546456813812256},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6198322176933289},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5758286714553833},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5602418184280396},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.503727376461029},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4863329529762268},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.46845221519470215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4614409804344177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4350418150424957},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.43073445558547974},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744133","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W998578798","https://openalex.org/W1537615837","https://openalex.org/W1563728692","https://openalex.org/W1566457085","https://openalex.org/W1964709376","https://openalex.org/W1985999671","https://openalex.org/W1991922103","https://openalex.org/W1994298396","https://openalex.org/W2010130628","https://openalex.org/W2027353299","https://openalex.org/W2031529615","https://openalex.org/W2037662824","https://openalex.org/W2041815507","https://openalex.org/W2047411075","https://openalex.org/W2048217413","https://openalex.org/W2055325903","https://openalex.org/W2070800540","https://openalex.org/W2075468087","https://openalex.org/W2085364807","https://openalex.org/W2102625537","https://openalex.org/W2105245738","https://openalex.org/W2137130066","https://openalex.org/W2143381319","https://openalex.org/W2150046657","https://openalex.org/W2160575059","https://openalex.org/W2360185389","https://openalex.org/W2363215134","https://openalex.org/W2386352832","https://openalex.org/W2404483258","https://openalex.org/W2769439939","https://openalex.org/W6661074023","https://openalex.org/W6662315548"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2996366161","https://openalex.org/W1494807122","https://openalex.org/W2142844925","https://openalex.org/W2513211214","https://openalex.org/W4240964608","https://openalex.org/W2085577866","https://openalex.org/W1994436307","https://openalex.org/W2198098822","https://openalex.org/W2022485595"],"abstract_inverted_index":{"In":[0,115],"practical":[1],"engineering":[2],"optimization":[3,17,51,57,190],"problems,":[4],"the":[5,8,30,62,68,73,78,87,90,93,98,102,107,111,119,125,143,163,167,174,180],"parameters":[6],"of":[7,61,92,110,121,130,169],"objective":[9,95,113],"functions":[10,160],"may":[11],"be":[12],"interval.":[13],"Existing":[14],"interval":[15,21,42,49,55,94,112,188],"multi-objective":[16,50,189],"methods":[18],"mostly":[19],"adopted":[20],"dominant":[22,75],"relationships":[23],"and":[24,36,71,97,123,137,142,172],"corresponding":[25],"crowded":[26],"operators":[27],"to":[28,53,66,85,117,179],"find":[29],"better":[31,171],"solutions.":[32],"They":[33],"were":[34],"complex":[35,74],"time-consuming.":[37],"So":[38],"a":[39],"novel":[40],"knowledge-inducing":[41],"MOEA/D":[43],"is":[44,83],"put":[45],"forward.":[46],"It":[47],"decomposes":[48],"problem":[52],"many":[54],"single-objective":[56],"sub-problems":[58],"in":[59,152],"terms":[60],"weight":[63],"so":[64],"as":[65],"realize":[67],"parallel":[69],"exploration":[70],"avoid":[72,124],"comparison.":[76],"Especially,":[77],"improved":[79],"Chebyshev":[80],"aggregate":[81],"function":[82],"defined":[84,141],"calculate":[86],"distance":[88],"between":[89],"midpoint":[91],"values":[96],"reference":[99,103],"point.":[100],"Moreover,":[101],"point":[104],"depends":[105],"on":[106],"upper":[108],"limit":[109],"values.":[114],"order":[116],"keep":[118],"diversity":[120,168],"population":[122,170],"premature":[126],"convergence,":[127],"three":[128],"kinds":[129],"knowledge":[131,136,139,149],"including":[132],"situational":[133],"knowledge,":[134],"neighborhood":[135],"association":[138],"are":[140,150],"differential":[144],"evolution":[145],"guided":[146],"by":[147,184],"above":[148],"illustrated":[151],"detail.":[153],"The":[154],"simulation":[155],"results":[156],"for":[157],"five":[158],"benchmark":[159],"indicate":[161],"that":[162],"proposed":[164],"algorithm":[165],"keeps":[166],"obtains":[173],"Pareto-optimal":[175],"solutions":[176],"more":[177],"close":[178],"true":[181],"Pareto":[182],"front":[183],"comparing":[185],"with":[186],"other":[187],"algorithms.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}