{"id":"https://openalex.org/W1878874404","doi":"https://doi.org/10.1109/cec.2004.1330857","title":"Insights on properties of multiobjective MNK-landscapes","display_name":"Insights on properties of multiobjective MNK-landscapes","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W1878874404","doi":"https://doi.org/10.1109/cec.2004.1330857","mag":"1878874404"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2004.1330857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2004.1330857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","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/A5036763177","display_name":"Hern\u00e1n Aguirre","orcid":"https://orcid.org/0000-0003-4480-1339"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"H.E. Aguirre","raw_affiliation_strings":["Faculty of Engineering, Shinshu University, Nagano, Japan","[Fac. of Eng., Shinshu Univ., Nagano, Japan]"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]},{"raw_affiliation_string":"[Fac. of Eng., Shinshu Univ., Nagano, Japan]","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101441960","display_name":"Kiyoshi Tanaka","orcid":"https://orcid.org/0000-0003-2174-6015"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Tanaka","raw_affiliation_strings":["Faculty of Engineering, Shinshu University, Nagano, Japan","[Fac. of Eng., Shinshu Univ., Nagano, Japan]"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]},{"raw_affiliation_string":"[Fac. of Eng., Shinshu Univ., Nagano, Japan]","institution_ids":["https://openalex.org/I137975476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036763177"],"corresponding_institution_ids":["https://openalex.org/I137975476"],"apc_list":null,"apc_paid":null,"fwci":1.0462,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.7565151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"196","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9983999729156494,"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":0.982699990272522,"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/epistasis","display_name":"Epistasis","score":0.7672977447509766},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6819129586219788},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.619525671005249},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6132829189300537},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6106446385383606},{"id":"https://openalex.org/keywords/fitness-landscape","display_name":"Fitness landscape","score":0.6010750532150269},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.594347357749939},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5616428852081299},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.552398681640625},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48698267340660095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2987770438194275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2709388732910156},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19434034824371338},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1879216730594635},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.12872767448425293},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.06602630019187927}],"concepts":[{"id":"https://openalex.org/C61727976","wikidata":"https://www.wikidata.org/wiki/Q751748","display_name":"Epistasis","level":3,"score":0.7672977447509766},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6819129586219788},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.619525671005249},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6132829189300537},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6106446385383606},{"id":"https://openalex.org/C91852762","wikidata":"https://www.wikidata.org/wiki/Q3307742","display_name":"Fitness landscape","level":3,"score":0.6010750532150269},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.594347357749939},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5616428852081299},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.552398681640625},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48698267340660095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2987770438194275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2709388732910156},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19434034824371338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1879216730594635},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.12872767448425293},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.06602630019187927},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2004.1330857","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2004.1330857","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2004 Congress on Evolutionary Computation (IEEE Cat. No.04TH8753)","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":21,"referenced_works":["https://openalex.org/W1504943474","https://openalex.org/W1516834747","https://openalex.org/W1521316934","https://openalex.org/W1537526371","https://openalex.org/W1538029071","https://openalex.org/W1590205051","https://openalex.org/W1595498733","https://openalex.org/W1660131149","https://openalex.org/W1846834309","https://openalex.org/W2123485079","https://openalex.org/W2138440718","https://openalex.org/W2252548355","https://openalex.org/W2263076435","https://openalex.org/W2463564488","https://openalex.org/W4388252848","https://openalex.org/W6630909027","https://openalex.org/W6631204795","https://openalex.org/W6636952118","https://openalex.org/W6678551067","https://openalex.org/W6691657984","https://openalex.org/W6692747974"],"related_works":["https://openalex.org/W4225153397","https://openalex.org/W4295749382","https://openalex.org/W2952742538","https://openalex.org/W4301429967","https://openalex.org/W4302338605","https://openalex.org/W4304195508","https://openalex.org/W2337872996","https://openalex.org/W1968336705","https://openalex.org/W2950940317","https://openalex.org/W4226215149"],"abstract_inverted_index":{"The":[0],"influence":[1],"of":[2,7,24,32,51,67,71,86,91,118,135],"epistasis":[3,45],"on":[4],"the":[5,30,49,84,116,119,133],"performance":[6],"evolutionary":[8,53],"algorithms":[9],"(EAs)":[10],"is":[11,36,127],"being":[12],"increasingly":[13],"investigated":[14],"for":[15,96],"single":[16],"objective":[17],"combinatorial":[18,98],"optimization":[19],"problem.":[20],"Kauffman's":[21,68],"NK-landscapes":[22,47,69],"model":[23,70],"epistatic":[25,72],"interactions,":[26],"particularly,":[27],"has":[28],"been":[29],"center":[31],"several":[33,79],"studies":[34],"and":[35,46,82],"considered":[37],"as":[38,106],"a":[39,107,128,138],"good":[40],"test":[41,93],"problem":[42],"generator.":[43],"However,":[44],"in":[48],"context":[50],"multiobjective":[52,75,97,123,139],"algorithm":[54],"(MOEAs)":[55],"are":[56],"almost":[57],"unexplored":[58],"subjects.":[59],"In":[60,100],"this":[61],"work":[62],"we":[63,110],"present":[64,78],"an":[65,88],"extension":[66],"interactions":[73],"to":[74,102,113,122],"MNK-landscapes.":[76],"MNK-landscapes":[77,105,136],"desirable":[80],"features":[81],"hold":[83],"potential":[85],"becoming":[87],"important":[89],"class":[90],"scalable":[92],"problems":[94],"generator":[95],"optimization.":[99],"order":[101],"meaningfully":[103],"use":[104],"benchmark":[108],"tool":[109],"first":[111,129],"need":[112],"understand":[114],"how":[115],"parameters":[117],"landscapes":[120],"relate":[121],"concepts.":[124],"This":[125],"paper":[126],"step":[130],"towards":[131],"understanding":[132],"properties":[134],"from":[137],"standpoint.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
