{"id":"https://openalex.org/W4396754405","doi":"https://doi.org/10.1109/access.2024.3398415","title":"Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization","display_name":"Clustering-Aided Grid-Based One-to-One Selection-Driven Evolutionary Algorithm for Multi/Many-Objective Optimization","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396754405","doi":"https://doi.org/10.1109/access.2024.3398415"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3398415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398415","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522659.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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":["Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028237781","display_name":"Jae\u2010Mo Kang","orcid":"https://orcid.org/0000-0002-8181-5994"},"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":"Jae-Mo Kang","raw_affiliation_strings":["Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8181-5994","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064276223","display_name":"Heechul Jung","orcid":"https://orcid.org/0000-0002-3005-2560"},"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":"Heechul Jung","raw_affiliation_strings":["Department of Artificial Intelligence, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-3005-2560","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Kyungpook National University, Daegu, South 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":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.8491,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9583398,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"12","issue":null,"first_page":"120612","last_page":"120623"},"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":0.9940000176429749,"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":0.9933000206947327,"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/cluster-analysis","display_name":"Cluster analysis","score":0.7652387022972107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970157027244568},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6683652997016907},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6421787738800049},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6040992736816406},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5191694498062134},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5090179443359375},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5061106085777283},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.45468899607658386},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.41472893953323364},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.41001924872398376},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3096647262573242},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2513572573661804},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1708070933818817}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7652387022972107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970157027244568},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6683652997016907},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6421787738800049},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6040992736816406},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5191694498062134},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5090179443359375},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5061106085777283},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.45468899607658386},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.41472893953323364},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.41001924872398376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3096647262573242},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2513572573661804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1708070933818817},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3398415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398415","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:645e5a042a2a467aa792125aaafb01f0","is_oa":true,"landing_page_url":"https://doaj.org/article/645e5a042a2a467aa792125aaafb01f0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 120612-120623 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3398415","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3398415","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10522659.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396754405.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1522538275","https://openalex.org/W1607221389","https://openalex.org/W1662894842","https://openalex.org/W2016014758","https://openalex.org/W2020320008","https://openalex.org/W2022485595","https://openalex.org/W2040622444","https://openalex.org/W2063375245","https://openalex.org/W2071694551","https://openalex.org/W2108968575","https://openalex.org/W2120091775","https://openalex.org/W2126105956","https://openalex.org/W2128357515","https://openalex.org/W2143185749","https://openalex.org/W2143245714","https://openalex.org/W2143381319","https://openalex.org/W2312339748","https://openalex.org/W2313094906","https://openalex.org/W2326149522","https://openalex.org/W2570235502","https://openalex.org/W2594575977","https://openalex.org/W2607407907","https://openalex.org/W2751605210","https://openalex.org/W2783781089","https://openalex.org/W2792152246","https://openalex.org/W2887439418","https://openalex.org/W2900754213","https://openalex.org/W2908622156","https://openalex.org/W2911539482","https://openalex.org/W2998757713","https://openalex.org/W3000629955","https://openalex.org/W3028931074","https://openalex.org/W3092942821","https://openalex.org/W3100195331","https://openalex.org/W3113710366","https://openalex.org/W3127596485","https://openalex.org/W3144544133","https://openalex.org/W4220832617","https://openalex.org/W4236285037","https://openalex.org/W4281632594","https://openalex.org/W4283165275","https://openalex.org/W4295715853","https://openalex.org/W4367057153","https://openalex.org/W6608886761","https://openalex.org/W6631460888","https://openalex.org/W6842403292"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2751605210","https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Multiobjective":[0],"evolutionary":[1],"algorithms":[2],"are":[3,119],"highly":[4],"effective":[5],"in":[6,22,49,65],"solving":[7],"multiobjective":[8],"optimization":[9,31],"problems":[10,124,128],"(MOPs).":[11],"The":[12,141],"selection":[13,45],"strategy,":[14],"involving":[15],"mating":[16,96],"and":[17,47,81,101,125],"environmental":[18,109],"selection,":[19,97,110],"is":[20],"crucial":[21],"shaping":[23],"these":[24,58,149],"algorithms.":[25,140,151],"However,":[26],"when":[27],"applied":[28],"to":[29,43,77,129,137],"many-objective":[30],"(MaOPs)":[32],"with":[33,106,114],"more":[34],"than":[35],"three":[36],"objectives,":[37],"existing":[38],"methods":[39],"face":[40],"challenges":[41],"due":[42],"reduced":[44],"pressure":[46],"issues":[48],"maintaining":[50],"diversity,":[51],"making":[52],"them":[53],"less":[54],"efficient.":[55],"To":[56],"address":[57],"challenges,":[59],"we":[60,86],"present":[61],"a":[62,88,93],"novel":[63,94],"approach":[64,90],"this":[66],"paper:":[67],"the":[68,131],"Clustering-aided":[69],"Grid-Based":[70],"One-to-One":[71],"Selection-driven":[72],"Evolutionary":[73],"Algorithm":[74],"(ClGrMOEA),":[75],"designed":[76],"handle":[78],"both":[79],"MOPs":[80],"MaOPs":[82],"effectively.":[83],"In":[84],"ClGrMOEA,":[85],"introduce":[87],"hybrid":[89],"that":[91,145],"combines":[92],"clustering-based":[95],"utilizing":[98],"K-means":[99],"clustering":[100],"Euclidean":[102],"distance-based":[103],"convergence":[104],"indicators,":[105],"grid-based":[107,115],"one-to-one":[108],"merging":[111],"Pareto":[112],"dominance":[113],"selection.":[116],"Extensive":[117],"experiments":[118],"conducted":[120],"on":[121],"19":[122],"benchmark":[123,150],"16":[126],"real-world":[127],"validate":[130],"superior":[132],"performance":[133],"of":[134],"ClGrMOEA":[135,146],"compared":[136],"seven":[138],"state-of-the-art":[139],"experimental":[142],"results":[143],"demonstrate":[144],"significantly":[147],"outperforms":[148]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":14}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}