{"id":"https://openalex.org/W3046288279","doi":"https://doi.org/10.1145/3377929.3389993","title":"A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms","display_name":"A test problem with difficulty in decomposing into sub-problems for model-based genetic algorithms","publication_year":2020,"publication_date":"2020-07-08","ids":{"openalex":"https://openalex.org/W3046288279","doi":"https://doi.org/10.1145/3377929.3389993","mag":"3046288279"},"language":"en","primary_location":{"id":"doi:10.1145/3377929.3389993","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 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/A5102967261","display_name":"Kei Ohnishi","orcid":"https://orcid.org/0000-0001-7965-4135"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kei Ohnishi","raw_affiliation_strings":["Kyushu Institute of Technology, Iizuka, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Iizuka, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001529010","display_name":"Shota Ikeda","orcid":"https://orcid.org/0000-0003-1358-524X"},"institutions":[{"id":"https://openalex.org/I207014233","display_name":"Kyushu Institute of Technology","ror":"https://ror.org/02278tr80","country_code":"JP","type":"education","lineage":["https://openalex.org/I207014233"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shota Ikeda","raw_affiliation_strings":["Kyushu Institute of Technology, Iizuka, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Kyushu Institute of Technology, Iizuka, Fukuoka, Japan","institution_ids":["https://openalex.org/I207014233"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011802505","display_name":"Tian\u2013Li Yu","orcid":"https://orcid.org/0000-0002-0273-9330"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tian-Li Yu","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102967261"],"corresponding_institution_ids":["https://openalex.org/I207014233"],"apc_list":null,"apc_paid":null,"fwci":0.2651,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62758026,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"221","last_page":"222"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9983999729156494,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9958999752998352,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6714810729026794},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5725995302200317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5608028173446655},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5023317337036133},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.49799489974975586},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.47655704617500305},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4492703974246979},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.4463554322719574},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.44419413805007935},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3492984175682068},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11176103353500366}],"concepts":[{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6714810729026794},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5725995302200317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5608028173446655},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5023317337036133},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49799489974975586},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.47655704617500305},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4492703974246979},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.4463554322719574},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.44419413805007935},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3492984175682068},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11176103353500366},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377929.3389993","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377929.3389993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion","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":5,"referenced_works":["https://openalex.org/W1586409345","https://openalex.org/W2013437272","https://openalex.org/W2064164319","https://openalex.org/W2170086712","https://openalex.org/W3004042307"],"related_works":["https://openalex.org/W1585007175","https://openalex.org/W2382521049","https://openalex.org/W2144385241","https://openalex.org/W4300101996","https://openalex.org/W2165950148","https://openalex.org/W4253593777","https://openalex.org/W2951497643","https://openalex.org/W4403053866","https://openalex.org/W2952692593","https://openalex.org/W2340858455"],"abstract_inverted_index":{"Fully":[0],"or":[1],"nearly":[2],"decomposable":[3],"problems":[4,11,21,104],"have":[5,22],"been":[6,63],"often":[7],"used":[8,33,81],"as":[9,124],"test":[10,65],"in":[12,29,67,77,108],"genetic":[13],"algorithm":[14],"(GA)":[15],"researches.":[16],"The":[17,39,129],"two":[18],"types":[19],"of":[20,47,74,87,96,103,127,131,137],"the":[23,45,78,88,109,115,119,138],"common":[24],"feature":[25],"that":[26,141],"all":[27],"bits":[28,73],"each":[30,75],"sub-problem":[31,76,89],"are":[32,70],"for":[34,82],"calculating":[35,83],"its":[36],"fitness":[37,85],"value.":[38],"present":[40],"model-based":[41,112,143],"GAs":[42,134],"appropriately":[43],"decompose":[44],"whole":[46],"such":[48],"a":[49,64,84,93,97,151],"problem":[50,66,122],"into":[51],"parts":[52,80],"and":[53,72],"efficiently":[54],"solve":[55],"it.":[56],"However,":[57],"so":[58],"far":[59],"there":[60],"has":[61],"not":[62],"which":[68],"sub-problems":[69],"overlapped":[71,79,120],"value":[86],"vary":[90],"depending":[91],"on":[92],"bit":[94],"pattern":[95],"given":[98],"solution":[99],"candidate.":[100],"This":[101],"type":[102,126],"might":[105],"cause":[106],"difficulty":[107],"decomposition":[110],"to":[111,135],"GAs.":[113],"In":[114],"study":[116],"we":[117],"propose":[118],"chains":[121],"(OCP)":[123],"this":[125],"problem.":[128],"results":[130],"applying":[132],"several":[133],"instances":[136],"OCP":[139],"show":[140],"some":[142],"GA":[144],"cannot":[145],"yield":[146],"better":[147],"search":[148],"performance":[149],"than":[150],"simple":[152],"operator-based":[153],"GA.":[154]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}