{"id":"https://openalex.org/W2986286314","doi":"https://doi.org/10.1088/1742-6596/1325/1/012158","title":"An improved evolutionary multi-objective optimization algorithm based on decomposition","display_name":"An improved evolutionary multi-objective optimization algorithm based on decomposition","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2986286314","doi":"https://doi.org/10.1088/1742-6596/1325/1/012158","mag":"2986286314"},"language":"en","primary_location":{"id":"doi:10.1088/1742-6596/1325/1/012158","doi":"https://doi.org/10.1088/1742-6596/1325/1/012158","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1325/1/012158","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1325/1/012158/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1325/1/012158/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jiaxin Han","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiaxin Han","raw_affiliation_strings":["School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065926780","display_name":"Manman He","orcid":"https://orcid.org/0000-0003-2849-4869","observed_orcids":["https://orcid.org/0000-0003-2849-4869"]},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Manman He","raw_affiliation_strings":["School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065","institution_ids":["https://openalex.org/I181903023"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021797080","display_name":"Ying Cuan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181903023","display_name":"Xi'an Shiyou University","ror":"https://ror.org/040c7js64","country_code":"CN","type":"education","lineage":["https://openalex.org/I181903023"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Cuan","raw_affiliation_strings":["School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Xi\u2019an Shiyou University, Xi\u2019an, Shaanxi, 710065","institution_ids":["https://openalex.org/I181903023"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181903023"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1325","issue":"1","first_page":"012158","last_page":"012158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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":9.999999747378752e-05,"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":0.0,"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/multi-objective-optimization","display_name":"multi-objective optimization","score":0.8859999775886536},{"id":"https://openalex.org/keywords/multi-objective-evolutionary-algorithms","display_name":"multi-objective evolutionary algorithms","score":0.7770000100135803},{"id":"https://openalex.org/keywords/decomposition-based-algorithms","display_name":"decomposition-based algorithms","score":0.8370000123977661},{"id":"https://openalex.org/keywords/latin-hypercube-sampling","display_name":"Latin hypercube sampling","score":0.9879999756813049},{"id":"https://openalex.org/keywords/reference-points","display_name":"reference points","score":0.6060000061988831},{"id":"https://openalex.org/keywords/zdt-test-problems","display_name":"ZDT test problems","score":0.8180000185966492},{"id":"https://openalex.org/keywords/dtlz-test-problems","display_name":"DTLZ test problems","score":0.9430000185966492},{"id":"https://openalex.org/keywords/convergence-rate","display_name":"convergence rate","score":0.8790000081062317}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7445474863052368},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.67533940076828},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6162016987800598},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6010393500328064},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5996799468994141},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5662291049957275},{"id":"https://openalex.org/C20820323","wikidata":"https://www.wikidata.org/wiki/Q6496514","display_name":"Latin hypercube sampling","level":3,"score":0.5391488671302795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296656489372253},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47051042318344116},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4694131314754486},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4689120054244995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34169426560401917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11716055870056152},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08478555083274841},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.07385459542274475},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/1742-6596/1325/1/012158","doi":"https://doi.org/10.1088/1742-6596/1325/1/012158","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1325/1/012158","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1325/1/012158/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/1742-6596/1325/1/012158","doi":"https://doi.org/10.1088/1742-6596/1325/1/012158","is_oa":true,"landing_page_url":"https://doi.org/10.1088/1742-6596/1325/1/012158","pdf_url":"https://iopscience.iop.org/article/10.1088/1742-6596/1325/1/012158/pdf","source":{"id":"https://openalex.org/S4210187594","display_name":"Journal of Physics Conference Series","issn_l":"1742-6588","issn":["1742-6588","1742-6596"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","vabb-shw"],"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Physics: Conference Series","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2986286314.pdf","grobid_xml":"https://content.openalex.org/works/W2986286314.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1999218527","https://openalex.org/W2010764608","https://openalex.org/W2022485595","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2140886193","https://openalex.org/W2143381319"],"related_works":["https://openalex.org/W2950258180","https://openalex.org/W3006802988","https://openalex.org/W3181985905","https://openalex.org/W7104179518","https://openalex.org/W3081665168","https://openalex.org/W3211939420","https://openalex.org/W2578996978","https://openalex.org/W2022701856","https://openalex.org/W2058142975","https://openalex.org/W2140391034"],"abstract_inverted_index":{"Abstract":[0],"Multi-objective":[1],"optimization":[2,21],"(MOP)":[3],"is":[4,34,45,78,110,147],"a":[5,135],"hot":[6],"and":[7,16,62,94,126,141],"difficult":[8],"problem":[9],"in":[10,52],"the":[11,40,49,56,59,63,68,73,82,90,101,104,107,118,122,128,132,145,160],"field":[12],"of":[13,22,58,65,103,131,137],"industrial":[14],"production":[15],"scientific":[17],"research,":[18],"involving":[19],"simultaneous":[20],"multiple":[23],"objectives.":[24],"In":[25,134],"this":[26],"paper,":[27],"an":[28],"improved":[29],"decomposition-based":[30],"multi-objective":[31],"evolutionary":[32],"algorithm":[33,146,161],"proposed":[35],"to":[36,47,54,67,80,99,112,121,165],"solve":[37,166],"MOP.":[38],"Firstly,":[39],"Latin":[41],"hypercube":[42],"sampling":[43],"method":[44],"used":[46,79],"generate":[48],"initial":[50,60],"population":[51,61,119],"order":[53],"improve":[55,100],"diversity":[57],"probability":[64],"convergence":[66,129],"global":[69],"optimal":[70],"solution.":[71],"Secondly,":[72],"adaptive":[74],"differential":[75,91],"crossover":[76,95],"operator":[77],"adjust":[81],"parameter":[83],"settings":[84],"adaptively":[85],"for":[86],"different":[87],"problems,":[88,139,144],"including":[89],"proportionality":[92],"factor":[93],"probability,":[96],"so":[97],"as":[98],"performance":[102],"algorithm.":[105],"Finally,":[106],"reference":[108],"point":[109],"set":[111],"coordinate":[113],"origin,":[114],"which":[115],"can":[116],"pull":[117],"back":[120],"real":[123],"front":[124],"faster":[125],"accelerate":[127],"speed":[130],"population.":[133],"group":[136],"benchmark":[138],"ZDT":[140],"DTLZ":[142],"test":[143],"widely":[148],"compared":[149],"with":[150],"four":[151],"most":[152],"advanced":[153],"algorithms.":[154],"The":[155],"experimental":[156],"results":[157],"show":[158],"that":[159],"has":[162],"better":[163],"ability":[164],"MOP":[167],"problems.":[168]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2019-11-22T00:00:00"}