{"id":"https://openalex.org/W4379365047","doi":"https://doi.org/10.1145/3583788.3583793","title":"Solving Multimodal Multi-Objective Problems with Local Pareto Front using a Population Clustering Mechanism","display_name":"Solving Multimodal Multi-Objective Problems with Local Pareto Front using a Population Clustering Mechanism","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4379365047","doi":"https://doi.org/10.1145/3583788.3583793"},"language":"en","primary_location":{"id":"doi:10.1145/3583788.3583793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","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/A5103243837","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-6525-3231"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Li","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0002-6525-3231","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702870","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0003-0318-3255"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-0318-3255","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027609172","display_name":"Chaonan Shen","orcid":"https://orcid.org/0000-0001-6788-8671"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaonan Shen","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0001-6788-8671","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036181908","display_name":"Zhiwei Xu","orcid":"https://orcid.org/0000-0003-3767-2049"},"institutions":[{"id":"https://openalex.org/I43922553","display_name":"Wuhan University of Science and Technology","ror":"https://ror.org/00e4hrk88","country_code":"CN","type":"education","lineage":["https://openalex.org/I43922553"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Xu","raw_affiliation_strings":["School of Computer Science and Technology, Wuhan University of Science and Technology, China"],"raw_orcid":"https://orcid.org/0000-0003-3767-2049","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Wuhan University of Science and Technology, China","institution_ids":["https://openalex.org/I43922553"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103243837"],"corresponding_institution_ids":["https://openalex.org/I43922553"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11623739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"39"},"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":0.9983000159263611,"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/T10998","display_name":"Heat Transfer and Optimization","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7702692747116089},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6999096274375916},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.663950502872467},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6362178325653076},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6250115036964417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5736930966377258},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4508705139160156},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42608463764190674},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.296068012714386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2876075506210327}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7702692747116089},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6999096274375916},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.663950502872467},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6362178325653076},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6250115036964417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5736930966377258},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4508705139160156},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42608463764190674},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.296068012714386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2876075506210327},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583788.3583793","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583788.3583793","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 The 7th International Conference on Machine Learning and Soft Computing (ICMLSC)","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":5,"referenced_works":["https://openalex.org/W2143381319","https://openalex.org/W2558610617","https://openalex.org/W2764251381","https://openalex.org/W2971217618","https://openalex.org/W4255425778"],"related_works":["https://openalex.org/W2145877535","https://openalex.org/W3151104768","https://openalex.org/W2977596624","https://openalex.org/W2162974421","https://openalex.org/W2129773030","https://openalex.org/W1544074860","https://openalex.org/W2806920391","https://openalex.org/W2029959045","https://openalex.org/W2088622475","https://openalex.org/W3191679877"],"abstract_inverted_index":{"Most":[0],"existing":[1],"multimodal":[2,40],"multi-objective":[3,41],"evolutionary":[4],"algorithms":[5,142],"only":[6],"search":[7],"the":[8,13,17,23,48,58,76,90,98,101,121,124,127,131,134,144,151,154,158],"global":[9,80],"Pareto":[10,20,45,81,86],"front":[11,21,82,87],"of":[12,22,123,153],"problem":[14],"while":[15],"ignoring":[16],"excellent":[18,162],"local":[19,44,85],"problem.":[24],"To":[25],"address":[26],"this":[27],"issue,":[28],"an":[29],"optimization":[30],"algorithm":[31,135,159],"with":[32,43,138],"population":[33,60,69,78,125],"clustering":[34,70],"mechanism":[35],"is":[36,54,72,116,136],"proposed":[37,73,160],"to":[38,56,74,119],"settle":[39],"problems":[42],"front.":[46],"At":[47],"first":[49],"step,":[50,92],"a":[51,68],"partitioning":[52],"method":[53,71],"used":[55],"divide":[57],"total":[59],"into":[61,79],"main":[62],"rank":[63],"and":[64,67,84,97,104,150],"other":[65,140],"ranks":[66],"repartition":[75],"entire":[77],"subpopulations":[83],"subpopulations.":[88],"In":[89,130],"second":[91],"each":[93],"subpopulation":[94],"evolves":[95],"independently":[96],"diversity":[99,122],"in":[100,126],"objective":[102],"space":[103,106],"decision":[105,128],"are":[107],"considered":[108],"simultaneously.":[109],"An":[110],"improved":[111],"density":[112],"adaptive":[113],"adjustment":[114],"strategy":[115],"put":[117],"forward":[118],"enhance":[120],"space.":[129],"experimental":[132],"part,":[133],"compared":[137],"several":[139],"state-of-the-art":[141],"using":[143],"CEC":[145],"2019":[146],"MMOPs":[147],"test":[148],"case,":[149],"result":[152],"experiment":[155],"confirm":[156],"that":[157],"shows":[161],"performance.":[163]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}