{"id":"https://openalex.org/W4401415514","doi":"https://doi.org/10.1109/cec60901.2024.10611917","title":"Feature-based Coevolution Algorithm for Multimodal Multi-objective Optimization","display_name":"Feature-based Coevolution Algorithm for Multimodal Multi-objective Optimization","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4401415514","doi":"https://doi.org/10.1109/cec60901.2024.10611917"},"language":"en","primary_location":{"id":"doi:10.1109/cec60901.2024.10611917","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10611917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5066589468","display_name":"Shanshan Yang","orcid":"https://orcid.org/0000-0003-4168-3496"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shanshan Yang","raw_affiliation_strings":["School of Information Science and Technology Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085124830","display_name":"Anqi Pan","orcid":"https://orcid.org/0000-0002-5100-3071"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Pan","raw_affiliation_strings":["School of Information Science and Technology Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102759249","display_name":"Xue Feng","orcid":"https://orcid.org/0000-0003-2058-3592"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue Feng","raw_affiliation_strings":["School of Information Science and Technology Donghua University,Shanghai,China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Donghua University,Shanghai,China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066589468"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14861938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9966999888420105,"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":0.9851999878883362,"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/computer-science","display_name":"Computer science","score":0.7178213596343994},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.677863359451294},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5412068367004395},{"id":"https://openalex.org/keywords/optimization-algorithm","display_name":"Optimization algorithm","score":0.4669415056705475},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44114089012145996},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39435309171676636},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.22541147470474243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15181413292884827}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7178213596343994},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.677863359451294},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5412068367004395},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.4669415056705475},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44114089012145996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39435309171676636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.22541147470474243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15181413292884827},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec60901.2024.10611917","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec60901.2024.10611917","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7566168013","display_name":null,"funder_award_id":"62303108","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2008002935","https://openalex.org/W2106334424","https://openalex.org/W2116661285","https://openalex.org/W2116961716","https://openalex.org/W2117444972","https://openalex.org/W2143381319","https://openalex.org/W2558610617","https://openalex.org/W2758008099","https://openalex.org/W2764251381","https://openalex.org/W2851267181","https://openalex.org/W2888596309","https://openalex.org/W2899276225","https://openalex.org/W2899519149","https://openalex.org/W2970233104","https://openalex.org/W2971217618","https://openalex.org/W3160947956","https://openalex.org/W4214886519"],"related_works":["https://openalex.org/W3144412313","https://openalex.org/W4366549320","https://openalex.org/W4287863136","https://openalex.org/W3006015132","https://openalex.org/W2965078190","https://openalex.org/W3040644038","https://openalex.org/W4394870774","https://openalex.org/W4311207076","https://openalex.org/W3203633096","https://openalex.org/W2355226480"],"abstract_inverted_index":{"When":[0],"solving":[1],"multimodal":[2,21],"multi-objective":[3,22],"optimization":[4,47],"problems":[5],"(MMOPs),":[6],"it":[7],"is":[8,97,151,165],"important":[9],"to":[10,53,71,127,134],"maintain":[11,105],"the":[12,15,27,46,66,82,90,106,113,116,120,130,137,144,147,155,158,162],"diversity":[13,114],"in":[14,153],"decision":[16,83,117,159],"space.":[17,118],"Since":[18],"traditional":[19],"Pareto-dominance-based":[20],"evolutionary":[23],"algorithms":[24],"(MMEAs)":[25],"prioritize":[26],"convergence":[28],"of":[29,49,68,81,108,115,132,146,157],"individuals":[30,37,44],"through":[31,85,99],"Pareto":[32],"dominated":[33,40],"sorting,":[34],"several":[35],"well-distributed":[36],"might":[38],"be":[39],"by":[41],"other":[42,168],"well-converged":[43],"during":[45],"process":[48],"MMOPs.":[50],"In":[51],"order":[52],"solve":[54],"this":[55],"problem,":[56],"we":[57],"propose":[58],"a":[59,100],"coevolutionary":[60],"algorithm":[61,76,164],"that":[62,143],"extracts":[63],"and":[64,88,111,122,161],"utilizes":[65],"features":[67],"multiple":[69,109],"populations":[70,110],"preserve":[72,112],"diversity.":[73],"The":[74,95,139],"proposed":[75,163],"simultaneously":[77],"explores":[78],"different":[79],"regions":[80],"space":[84],"multi-population":[86],"coevolution":[87],"controls":[89],"cross-learning":[91,96],"behavior":[92],"among":[93],"sub-populations.":[94],"conducted":[98],"feature":[101,148],"weight":[102,149],"vector":[103,150],"which":[104],"characteristics":[107],"Meanwhile,":[119],"assignment":[121],"merging":[123],"methods":[124],"are":[125],"designed":[126],"adaptively":[128],"adjust":[129],"scales":[131],"sub-populations":[133],"speed":[135],"up":[136],"convergence.":[138],"experimental":[140],"results":[141],"show":[142],"introduction":[145],"effective":[152],"maintaining":[154],"distribution":[156],"space,":[160],"competitive":[166],"with":[167],"representative":[169],"MMEAs.":[170]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}