{"id":"https://openalex.org/W2558462373","doi":"https://doi.org/10.1109/cec.2016.7744099","title":"Prediction of Pareto dominance by reducing equivalent and redundent dimensions in decision vectors","display_name":"Prediction of Pareto dominance by reducing equivalent and redundent dimensions in decision vectors","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2558462373","doi":"https://doi.org/10.1109/cec.2016.7744099","mag":"2558462373"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2016.7744099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744099","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/A5102153532","display_name":"Guanqi Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanqi Guo","raw_affiliation_strings":["College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004724069","display_name":"Caiying Feng","orcid":"https://orcid.org/0000-0001-5668-9773"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiying Feng","raw_affiliation_strings":["College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100644285","display_name":"Wenbin Li","orcid":"https://orcid.org/0000-0002-2317-3495"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Li","raw_affiliation_strings":["College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101412306","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0002-4242-7630"},"institutions":[{"id":"https://openalex.org/I100286613","display_name":"Hunan Institute of Science and Technology","ror":"https://ror.org/044ysd349","country_code":"CN","type":"education","lineage":["https://openalex.org/I100286613"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information & Communication Engineering, Hunan Institute of Science & Technology, Yueyang, China","institution_ids":["https://openalex.org/I100286613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102153532"],"corresponding_institution_ids":["https://openalex.org/I100286613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14243917,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"2498","last_page":"2503"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9745000004768372,"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":0.9700000286102295,"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/pareto-principle","display_name":"Pareto principle","score":0.7435699105262756},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5635761618614197},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5115938782691956},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48874449729919434},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.48243483901023865},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.4768085181713104},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4744732677936554},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4393150806427002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42497518658638},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3420148491859436},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.330010324716568},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29223936796188354}],"concepts":[{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7435699105262756},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5635761618614197},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5115938782691956},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48874449729919434},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.48243483901023865},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.4768085181713104},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4744732677936554},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4393150806427002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42497518658638},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3420148491859436},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.330010324716568},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29223936796188354},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2016.7744099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2016.7744099","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":[{"score":0.5799999833106995,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W42787134","https://openalex.org/W1532399581","https://openalex.org/W1585939719","https://openalex.org/W1616579013","https://openalex.org/W1846834309","https://openalex.org/W2000982395","https://openalex.org/W2020320008","https://openalex.org/W2022086256","https://openalex.org/W2075220263","https://openalex.org/W2082228576","https://openalex.org/W2111526171","https://openalex.org/W2117502083","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2131612655","https://openalex.org/W2134312057","https://openalex.org/W2140066605","https://openalex.org/W2149599177","https://openalex.org/W2352566696","https://openalex.org/W2540720552","https://openalex.org/W6635097213","https://openalex.org/W6680838134"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2073147994","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W1550055091","https://openalex.org/W2744462909","https://openalex.org/W3083133203","https://openalex.org/W1971520370"],"abstract_inverted_index":{"In":[0,62],"order":[1],"to":[2,21,47,55],"increase":[3],"accuracy":[4,137],"predicting":[5,114,139],"Pareto":[6,115,140],"dominance":[7,141],"in":[8,28,76,108],"optimizing":[9],"expensive":[10],"multi-objective":[11,124],"problems":[12,126],"with":[13],"high":[14],"dimensional":[15],"decision":[16,29,45,77,99],"vector":[17,30,100],"space,":[18],"a":[19,82],"method":[20,112,131],"identifying":[22],"the":[23,41,57,64,91,103,109,129,136],"equivalent":[24,58,74],"and":[25,53,59,90],"redundant":[26,60,92],"dimensions":[27],"space":[31,101],"is":[32,51,106,132],"proposed.":[33],"A":[34],"kind":[35],"of":[36,43,66,102,113,134,138],"satisfaction":[37],"degree":[38],"based":[39,70],"on":[40,71,120],"contribution":[42],"each":[44,48],"component":[46,84],"objective":[49],"function":[50],"defined":[52],"used":[54,107],"determine":[56],"dimensions.":[61],"calculating":[63],"similarity":[65],"two":[67],"candidate":[68],"solutions":[69],"distance":[72],"measurement,":[73],"components":[75,93],"vectors":[78],"are":[79,94],"mapped":[80],"into":[81],"single":[83],"by":[85],"using":[86],"Sammon":[87],"nonlinear":[88],"mapping,":[89],"directly":[95],"ignored.":[96],"The":[97,117],"reduced":[98],"observed":[104],"data":[105],"nearest":[110],"neighbor":[111],"dominance.":[116],"experiment":[118],"results":[119],"6":[121],"typical":[122],"unconstrained":[123],"optimization":[125],"show":[127],"that":[128],"proposed":[130],"capable":[133],"increasing":[135],"significantly.":[142]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}