{"id":"https://openalex.org/W2911813747","doi":"https://doi.org/10.1109/ssci.2018.8628907","title":"Ensemble of Pareto-based Selections for Many-objective optimization","display_name":"Ensemble of Pareto-based Selections for Many-objective optimization","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2911813747","doi":"https://doi.org/10.1109/ssci.2018.8628907","mag":"2911813747"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2018.8628907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5018100530","display_name":"Samira Ghorbanpour","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Samira Ghorbanpour","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009301325","display_name":"Vikas Palakonda","orcid":"https://orcid.org/0009-0001-6390-2373"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Vikas Palakonda","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043565079","display_name":"Rammohan Mallipeddi","orcid":"https://orcid.org/0000-0001-9071-1145"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Rammohan Mallipeddi","raw_affiliation_strings":["School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.3176,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54142936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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":0.9970999956130981,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9904999732971191,"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/computer-science","display_name":"Computer science","score":0.6594818234443665},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6052917242050171},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5371876955032349},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3311319947242737},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1952478587627411},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14185035228729248}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6594818234443665},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6052917242050171},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5371876955032349},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3311319947242737},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1952478587627411},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14185035228729248}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci.2018.8628907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W760913798","https://openalex.org/W1493761729","https://openalex.org/W1585939719","https://openalex.org/W1588375755","https://openalex.org/W2007833876","https://openalex.org/W2020320008","https://openalex.org/W2022485595","https://openalex.org/W2038420231","https://openalex.org/W2040622444","https://openalex.org/W2049862811","https://openalex.org/W2063375245","https://openalex.org/W2071694551","https://openalex.org/W2072661909","https://openalex.org/W2102365077","https://openalex.org/W2108968575","https://openalex.org/W2113363287","https://openalex.org/W2116555342","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2134152443","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2153654820","https://openalex.org/W2312339748","https://openalex.org/W2430564265","https://openalex.org/W2466060750","https://openalex.org/W2564148772","https://openalex.org/W2626804954","https://openalex.org/W4256661862","https://openalex.org/W6635433731"],"related_works":["https://openalex.org/W2306858893","https://openalex.org/W2486691257","https://openalex.org/W1601556876","https://openalex.org/W1550055091","https://openalex.org/W3211506038","https://openalex.org/W2384474142","https://openalex.org/W3083133203","https://openalex.org/W1971520370","https://openalex.org/W2811222951","https://openalex.org/W3094456605"],"abstract_inverted_index":{"Performance":[0],"of":[1,17,28,35,59,74,78,86,119,134,155,163,178,219,222],"Pareto":[2,36,79,120,136],"Dominance-based":[3],"Multi-objective":[4],"Evolutionary":[5],"Algorithms":[6],"(PDMOEAs)":[7],"degrades":[8],"in":[9,25],"many-objective":[10,166],"optimization":[11,167],"problems":[12,209],"(MaOPs),":[13],"where":[14],"the":[15,26,33,50,57,64,72,76,83,108,112,117,123,129,132,139,146,161,217],"number":[16],"objectives":[18],"is":[19],"greater":[20],"than":[21],"three.":[22],"The":[23,169],"degradation":[24],"performance":[27,162,218],"PDMOEs":[29],"arises":[30],"due":[31],"to":[32,47,81,106,127,144,159,215],"inability":[34],"dominance":[37,80,109,121,137],"relationships":[38],"that":[39,67,100],"are":[40,203],"decided":[41],"using":[42],"conventional":[43,135],"nondominated":[44,95],"sorting":[45,96],"(CNDS)":[46],"differentiate":[48],"between":[49,111],"population":[51],"members":[52],"during":[53],"environmental":[54,174,191],"selection.":[55],"Therefore,":[56],"selection":[58],"individuals":[60],"depends":[61],"entirely":[62],"on":[63,116,165,183,196,205],"secondary":[65],"criterion":[66],"enforces":[68,138],"diversity.":[69],"In":[70,148],"literature,":[71],"idea":[73],"modifying":[75],"definition":[77],"improve":[82,160],"converging":[84],"ability":[85],"PDMOEAs":[87,114,164],"has":[88],"been":[89],"investigated.":[90],"Recently,":[91],"an":[92,153],"approximate":[93],"effective":[94],"(AENS)":[97],"was":[98],"proposed,":[99],"utilizes":[101],"only":[102],"three":[103],"objective":[104],"comparisons":[105],"determine":[107],"relation":[110],"individuals.":[113],"based":[115,182,195],"approximation":[118],"improves":[122],"convergence,":[124],"but":[125,142],"fails":[126],"enforce":[128],"diversity;":[130],"whereas":[131],"use":[133],"necessary":[140],"diversity":[141],"fail":[143],"achieve":[145],"convergence.":[147],"this":[149],"paper,":[150],"we":[151],"propose":[152],"ensemble":[154,170,221],"Pareto-based":[156,223],"selections":[157,177,194,224],"(EPS)":[158],"problems.":[168],"includes":[171],"-":[172],"a)":[173],"and":[175,185,189,192,198],"mating":[176,193],"any":[179],"existing":[180],"PDMOEA":[181,213],"CNDS":[184],"respective":[186],"density":[187,200],"estimation;":[188],"b)":[190],"AENS":[197],"shift-based":[199],"estimation.":[201],"Experiments":[202],"performed":[204],"16":[206],"different":[207,212],"test":[208],"with":[210],"two":[211],"frameworks":[214],"analyze":[216],"proposed":[220],"(EPS).":[225]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}