{"id":"https://openalex.org/W1521725076","doi":"https://doi.org/10.1109/icsmc.2003.1243785","title":"Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems","display_name":"Performance evaluation of memetic EMO algorithms using dominance relation-based replacement rules on MOO test problems","publication_year":2004,"publication_date":"2004-06-22","ids":{"openalex":"https://openalex.org/W1521725076","doi":"https://doi.org/10.1109/icsmc.2003.1243785","mag":"1521725076"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2003.1243785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","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/A5073267658","display_name":"Shiori Kaige","orcid":null},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"S. Kaige","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084942408","display_name":"Tadahiko Murata","orcid":"https://orcid.org/0000-0002-1654-3945"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"T. Murata","raw_affiliation_strings":["Department of Informatics, Kansai University, Takatsuki, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Kansai University, Takatsuki, Osaka, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035595838","display_name":"Hisao Ishibuchi","orcid":"https://orcid.org/0000-0001-9186-6472"},"institutions":[{"id":"https://openalex.org/I15807432","display_name":"Osaka Prefecture University","ror":"https://ror.org/02cf1je33","country_code":"JP","type":"education","lineage":["https://openalex.org/I15807432"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"H. Ishibuchi","raw_affiliation_strings":["Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Osaka Prefecture University, Sakai, Osaka, Japan","institution_ids":["https://openalex.org/I15807432"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.06607027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"14","last_page":"19"},"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":0.9979000091552734,"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":0.9954000115394592,"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":0.8408949375152588},{"id":"https://openalex.org/keywords/memetic-algorithm","display_name":"Memetic algorithm","score":0.8237285614013672},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.7138073444366455},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6761019229888916},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.6161178350448608},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6106598377227783},{"id":"https://openalex.org/keywords/dominance","display_name":"Dominance (genetics)","score":0.5523293614387512},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.48861104249954224},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45658817887306213},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44824251532554626},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.4468209445476532},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4453575611114502},{"id":"https://openalex.org/keywords/local-search","display_name":"Local search (optimization)","score":0.41743195056915283},{"id":"https://openalex.org/keywords/continuous-knapsack-problem","display_name":"Continuous knapsack problem","score":0.41628581285476685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1561657190322876}],"concepts":[{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.8408949375152588},{"id":"https://openalex.org/C35129592","wikidata":"https://www.wikidata.org/wiki/Q324793","display_name":"Memetic algorithm","level":3,"score":0.8237285614013672},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.7138073444366455},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6761019229888916},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6161178350448608},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6106598377227783},{"id":"https://openalex.org/C151913843","wikidata":"https://www.wikidata.org/wiki/Q3454555","display_name":"Dominance (genetics)","level":3,"score":0.5523293614387512},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.48861104249954224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45658817887306213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44824251532554626},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.4468209445476532},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4453575611114502},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.41743195056915283},{"id":"https://openalex.org/C94569963","wikidata":"https://www.wikidata.org/wiki/Q5165487","display_name":"Continuous knapsack problem","level":3,"score":0.41628581285476685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1561657190322876},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2003.1243785","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2003.1243785","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322312","display_name":"Kansai University","ror":"https://ror.org/03xg1f311"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W127967677","https://openalex.org/W1502785848","https://openalex.org/W1504943474","https://openalex.org/W1544424764","https://openalex.org/W1846834309","https://openalex.org/W1992108490","https://openalex.org/W2036643871","https://openalex.org/W2053900989","https://openalex.org/W2106334424","https://openalex.org/W2109865546","https://openalex.org/W2122510010","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2137142533","https://openalex.org/W2140066605","https://openalex.org/W6605133779","https://openalex.org/W6630079181","https://openalex.org/W6630172796","https://openalex.org/W6680838134"],"related_works":["https://openalex.org/W246960280","https://openalex.org/W2087209118","https://openalex.org/W2168163332","https://openalex.org/W179363847","https://openalex.org/W2381035939","https://openalex.org/W2005493932","https://openalex.org/W2378557713","https://openalex.org/W3119729126","https://openalex.org/W2141701778","https://openalex.org/W3169691842"],"abstract_inverted_index":{"In":[0,25,70],"this":[1,71],"paper,":[2,72],"we":[3,29,73],"apply":[4],"EMO":[5,59,82],"(Evolutionary":[6],"Multiobjective":[7],"Optimization)":[8,22],"algorithms":[9,60,83],"with":[10,61],"a":[11],"generalized":[12],"dominance":[13,33],"relation-based":[14],"local":[15,53],"search":[16],"(GDR-LS)":[17],"procedure":[18,64,80],"to":[19,39,65],"MOO":[20,45],"(Multi-Objective":[21],"test":[23],"problems.":[24,69,90],"the":[26,31,52,62,75,78],"GDR-LS":[27,63,79],"procedure,":[28],"generalize":[30],"Pareto":[32,41],"relation,":[34],"which":[35],"is":[36],"usually":[37],"used":[38],"determine":[40],"optimal":[42],"solutions":[43,50],"for":[44,47],"problems,":[46],"accepting":[48],"candidate":[49],"in":[51,81],"search.":[54],"We":[55],"have":[56],"already":[57],"applied":[58],"well-known":[66],"multi-objective":[67],"knapsack":[68],"examine":[74],"effectiveness":[76],"of":[77],"through":[84],"computational":[85],"experiments":[86],"on":[87],"function":[88],"optimization":[89]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
