{"id":"https://openalex.org/W2119492628","doi":"https://doi.org/10.1109/nabic.2010.5716333","title":"Proposal of F-F-Objective Optimization for many objectives and its evaluation with a 0/1 knapsack problem","display_name":"Proposal of F-F-Objective Optimization for many objectives and its evaluation with a 0/1 knapsack problem","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2119492628","doi":"https://doi.org/10.1109/nabic.2010.5716333","mag":"2119492628"},"language":"en","primary_location":{"id":"doi:10.1109/nabic.2010.5716333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://catalog.lib.kyushu-u.ac.jp/opac_download_md/1808447/NaBIC2010.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015830150","display_name":"M. Inoue","orcid":"https://orcid.org/0000-0002-9324-2628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M Inoue","raw_affiliation_strings":["Architect Office Optima Design, Fukuoka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Architect Office Optima Design, Fukuoka, Japan","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067904849","display_name":"Hideyuki Takagi","orcid":"https://orcid.org/0000-0002-1431-9472"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H Takagi","raw_affiliation_strings":["Faculty of Design, Kyushu University, Fukuoka, Japan","Faculty of Design Kyushu University,Fukuoka,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Design, Kyushu University, Fukuoka, Japan","institution_ids":["https://openalex.org/I135598925"]},{"raw_affiliation_string":"Faculty of Design Kyushu University,Fukuoka,Japan","institution_ids":["https://openalex.org/I135598925"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.24972129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"50","issue":null,"first_page":"520","last_page":"525"},"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":0.9950000047683716,"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":0.9898999929428101,"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/knapsack-problem","display_name":"Knapsack problem","score":0.9548169374465942},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5443025827407837},{"id":"https://openalex.org/keywords/continuous-knapsack-problem","display_name":"Continuous knapsack problem","score":0.49193286895751953},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45796138048171997},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35530421137809753},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23373523354530334}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.9548169374465942},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5443025827407837},{"id":"https://openalex.org/C94569963","wikidata":"https://www.wikidata.org/wiki/Q5165487","display_name":"Continuous knapsack problem","level":3,"score":0.49193286895751953},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45796138048171997},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35530421137809753},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23373523354530334}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/nabic.2010.5716333","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nabic.2010.5716333","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 Second World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01211:0005978447","is_oa":true,"landing_page_url":"https://hdl.handle.net/2324/1808447","pdf_url":"https://catalog.lib.kyushu-u.ac.jp/opac_download_md/1808447/NaBIC2010.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"conference paper"},{"id":"pmh:oai:catalog.lib.kyushu-u.ac.jp:2324/1808447","is_oa":true,"landing_page_url":"http://hdl.handle.net/2324/1808447","pdf_url":null,"source":{"id":"https://openalex.org/S4306402148","display_name":"QIR (Kyushu University Institutional Repository) (Kyushu University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I135598925","host_organization_name":"Kyushu University","host_organization_lineage":["https://openalex.org/I135598925"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01211:0005978447","is_oa":true,"landing_page_url":"https://hdl.handle.net/2324/1808447","pdf_url":"https://catalog.lib.kyushu-u.ac.jp/opac_download_md/1808447/NaBIC2010.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"World Congress on Nature and Biologically Inspired Computing (NaBIC)","raw_type":"conference paper"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2119492628.pdf","grobid_xml":"https://content.openalex.org/works/W2119492628.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1521316934","https://openalex.org/W1533748389","https://openalex.org/W1545005363","https://openalex.org/W1558919105","https://openalex.org/W1564638059","https://openalex.org/W1572960541","https://openalex.org/W1581487892","https://openalex.org/W1595498733","https://openalex.org/W1605170913","https://openalex.org/W1607221389","https://openalex.org/W1612556207","https://openalex.org/W2020889165","https://openalex.org/W2025525377","https://openalex.org/W2027997548","https://openalex.org/W2110828487","https://openalex.org/W2139196352","https://openalex.org/W2148933727","https://openalex.org/W2261054240","https://openalex.org/W6631204795","https://openalex.org/W6633513437","https://openalex.org/W6634239536","https://openalex.org/W6634798777","https://openalex.org/W6636658889","https://openalex.org/W6657289394"],"related_works":["https://openalex.org/W2087209118","https://openalex.org/W2041040939","https://openalex.org/W2060645964","https://openalex.org/W2993365626","https://openalex.org/W2135859642","https://openalex.org/W179363847","https://openalex.org/W2143313202","https://openalex.org/W1994451098","https://openalex.org/W1814097159","https://openalex.org/W4312222677"],"abstract_inverted_index":{"We":[0,86],"propose":[1],"Fewer-Fixed-Objective":[2],"Optimization":[3,92],"(F-F-Objective":[4],"Optimization),":[5],"a":[6,24,67,99,121],"method":[7,17,50,110,136,151,158,197],"for":[8,137],"improving":[9],"the":[10,38,48,60,82,90,108,134,150,155,189,195,205],"capabilities":[11],"of":[12,40,55,76,84,120,140,207],"evolutionary":[13,171],"many-objective":[14,32,123],"optimization.":[15],"The":[16,73,178],"is":[18,42,66,79,152,167,181],"evaluated":[19,182],"by":[20,88],"applying":[21],"it":[22,166],"to":[23,98,144,154,169,200],"multi-objective":[25,129,172],"0/1":[26,114],"knapsack":[27,115],"problem.":[28,103,125],"Searching":[29],"performance":[30,180],"in":[31,53,70],"optimization":[33,102,124,173],"becomes":[34],"drastically":[35],"worse":[36],"as":[37,81,117,186],"number":[39,69],"objectives":[41,57],"increased.":[43],"To":[44],"address":[45],"this":[46],"problem,":[47],"proposed":[49,109,135,196],"ranks":[51],"individuals":[52],"subsets":[54],"s":[56,65,141,147,175],"selected":[58],"from":[59,142],"total":[61],"m":[62],"objectives,":[63],"where":[64],"fixed":[68],"[1,":[71],"m].":[72],"final":[74],"rank":[75],"each":[77],"individual":[78],"determined":[80],"aggregation":[83],"itsmCsranks.":[85],"begin":[87],"introducing":[89],"F-F-Objective":[91],"concept":[93],"and":[94,165,188,204],"illustrating":[95],"its":[96,201,208],"application":[97],"numerical":[100],"5-objective":[101],"Next,":[104],"we":[105,127,193],"further":[106],"investigate":[107],"using":[111,183],"an":[112,118],"8-objective":[113],"problem":[116],"example":[119],"typical":[122],"Here":[126],"apply":[128],"genetic":[130],"algorithms":[131],"(GA)":[132],"with":[133,162,198],"all":[138],"values":[139],"1":[143],"8.":[145],"When":[146],"=":[148,176],"1,":[149],"equivalent":[153,168],"average":[156],"ranking":[157],"or":[159],"weight-based":[160],"GA":[161],"equal":[163],"weights,":[164],"conventional":[170],"when":[174],"m.":[177],"method's":[179],"such":[184],"metrics":[185],"hypervolume":[187],"C":[190],"Metric.":[191],"Finally,":[192],"discuss":[194],"regards":[199],"convergence":[202],"characteristics":[203],"diversity":[206],"Pareto":[209],"solutions.":[210]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
