{"id":"https://openalex.org/W2878743835","doi":"https://doi.org/10.1145/3205651.3205691","title":"Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems","display_name":"Towards a small diverse pareto-optimal solutions set generator for multiobjective optimization problems","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2878743835","doi":"https://doi.org/10.1145/3205651.3205691","mag":"2878743835"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3205691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205691","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5070276007","display_name":"Courtney Powell","orcid":null},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Courtney Powell","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112036457","display_name":"Katsunori Miura","orcid":null},"institutions":[{"id":"https://openalex.org/I98957242","display_name":"Kitami Institute of Technology","ror":"https://ror.org/05wks2t16","country_code":"JP","type":"education","lineage":["https://openalex.org/I98957242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Katsunori Miura","raw_affiliation_strings":["Kitami Institute of Technology, Kitami, Japan"],"affiliations":[{"raw_affiliation_string":"Kitami Institute of Technology, Kitami, Japan","institution_ids":["https://openalex.org/I98957242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087706095","display_name":"Masaharu Munetomo","orcid":"https://orcid.org/0000-0002-5750-9217"},"institutions":[{"id":"https://openalex.org/I205349734","display_name":"Hokkaido University","ror":"https://ror.org/02e16g702","country_code":"JP","type":"education","lineage":["https://openalex.org/I205349734"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaharu Munetomo","raw_affiliation_strings":["Hokkaido University, Sapporo, Japan"],"affiliations":[{"raw_affiliation_string":"Hokkaido University, Sapporo, Japan","institution_ids":["https://openalex.org/I205349734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070276007"],"corresponding_institution_ids":["https://openalex.org/I205349734"],"apc_list":null,"apc_paid":null,"fwci":0.7241,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66784452,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"298","last_page":"299"},"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":0.9969000220298767,"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":0.9962000250816345,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7801766395568848},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.7561559081077576},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.6857180595397949},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.654071569442749},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6320836544036865},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5969198942184448},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.583920419216156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5767717361450195},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5531060099601746},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.46561646461486816},{"id":"https://openalex.org/keywords/set-cover-problem","display_name":"Set cover problem","score":0.43153178691864014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.290367990732193},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.14833778142929077},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0976330041885376}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7801766395568848},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7561559081077576},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.6857180595397949},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.654071569442749},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6320836544036865},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5969198942184448},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.583920419216156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5767717361450195},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5531060099601746},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.46561646461486816},{"id":"https://openalex.org/C100808899","wikidata":"https://www.wikidata.org/wiki/Q1192100","display_name":"Set cover problem","level":3,"score":0.43153178691864014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.290367990732193},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.14833778142929077},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0976330041885376},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3205691","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205691","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322835","display_name":"Ministry of Economic Affairs","ror":"https://ror.org/042ge0913"},{"id":"https://openalex.org/F4320338075","display_name":"Core Research for Evolutional Science and Technology","ror":"https://ror.org/00097mb19"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1595498733","https://openalex.org/W2010774893","https://openalex.org/W2022485595","https://openalex.org/W2105593825","https://openalex.org/W2106960948"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624"],"abstract_inverted_index":{"Multiobjective":[0],"evolutionary":[1],"algorithms":[2],"(MOEAs)":[3],"try":[4],"to":[5,14,27,60],"produce":[6],"enough":[7],"and":[8,33],"sufficiently":[9],"diverse":[10],"Pareto-optimal":[11,48],"tradeoff":[12],"solutions":[13,26,50,65,85],"cover":[15],"the":[16],"entire":[17],"Pareto":[18],"surface.":[19],"However,":[20],"in":[21,31],"practical":[22],"scenarios,":[23],"presenting":[24],"numerous":[25],"stakeholders":[28],"may":[29],"result":[30],"confusion":[32],"indecision.":[34],"This":[35],"paper":[36],"proposes":[37],"a":[38,42,61,80],"method":[39,56],"for":[40,51],"generating":[41],"small":[43],"(user-specified)":[44],"number":[45],"of":[46,63,83],"well-distributed":[47],"feasible":[49,84],"multiobjective":[52],"problems.":[53],"The":[54],"proposed":[55],"can":[57],"be":[58],"applied":[59],"set":[62,82],"aggregate":[64],"produced":[66,86],"by":[67,87],"(1)":[68],"one":[69,88],"MOEA":[70],"over":[71],"multiple":[72],"runs,":[73],"(2)":[74],"several":[75],"different":[76],"MOEAs,":[77],"or":[78,89],"(3)":[79],"universal":[81],"more":[90],"constraint":[91],"solvers.":[92]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}