{"id":"https://openalex.org/W2104664330","doi":"https://doi.org/10.1109/cec.2011.5949703","title":"Distributed island-model genetic algorithms using heterogeneous parameter settings","display_name":"Distributed island-model genetic algorithms using heterogeneous parameter settings","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2104664330","doi":"https://doi.org/10.1109/cec.2011.5949703","mag":"2104664330"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2011.5949703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","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/A5100521992","display_name":"Yiyuan Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I165953009","display_name":"Tokyo University of the Arts","ror":"https://ror.org/00y809n33","country_code":"JP","type":"education","lineage":["https://openalex.org/I165953009"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yiyuan Gong","raw_affiliation_strings":["Graduate School of Arts and Sciences, University of Tokyo, Japan","Graduate school of Arts and Sciences, University of Tokyo,#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Arts and Sciences, University of Tokyo, Japan","institution_ids":["https://openalex.org/I165953009","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate school of Arts and Sciences, University of Tokyo,#TAB#","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052263300","display_name":"Alex Fukunaga","orcid":null},"institutions":[{"id":"https://openalex.org/I165953009","display_name":"Tokyo University of the Arts","ror":"https://ror.org/00y809n33","country_code":"JP","type":"education","lineage":["https://openalex.org/I165953009"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Alex Fukunaga","raw_affiliation_strings":["Graduate School of Arts and Sciences, University of Tokyo, Japan","Graduate school of Arts and Sciences, University of Tokyo,#TAB#"],"affiliations":[{"raw_affiliation_string":"Graduate School of Arts and Sciences, University of Tokyo, Japan","institution_ids":["https://openalex.org/I165953009","https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate school of Arts and Sciences, University of Tokyo,#TAB#","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100521992"],"corresponding_institution_ids":["https://openalex.org/I165953009","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":7.2685,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.97040069,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"820","last_page":"827"},"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":0.9994999766349792,"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":0.9976999759674072,"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/crossover","display_name":"Crossover","score":0.8358213305473328},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7370825409889221},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7081841826438904},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5698671340942383},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5507902503013611},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5466369986534119},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.49595722556114197},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.47577062249183655},{"id":"https://openalex.org/keywords/population-based-incremental-learning","display_name":"Population-based incremental learning","score":0.45948776602745056},{"id":"https://openalex.org/keywords/quality-control-and-genetic-algorithms","display_name":"Quality control and genetic algorithms","score":0.4554426968097687},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4151213467121124},{"id":"https://openalex.org/keywords/mutation","display_name":"Mutation","score":0.41157642006874084},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.38730350136756897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2137545347213745},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.18934670090675354},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15363645553588867},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11827203631401062}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.8358213305473328},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7370825409889221},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7081841826438904},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5698671340942383},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5507902503013611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5466369986534119},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.49595722556114197},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.47577062249183655},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"score":0.45948776602745056},{"id":"https://openalex.org/C161164918","wikidata":"https://www.wikidata.org/wiki/Q7268775","display_name":"Quality control and genetic algorithms","level":4,"score":0.4554426968097687},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4151213467121124},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.41157642006874084},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.38730350136756897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2137545347213745},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.18934670090675354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15363645553588867},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11827203631401062},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2011.5949703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2011.5949703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE Congress of Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W90450217","https://openalex.org/W1500783943","https://openalex.org/W1510381913","https://openalex.org/W1510527127","https://openalex.org/W1532179194","https://openalex.org/W1565012712","https://openalex.org/W1967549527","https://openalex.org/W2035010538","https://openalex.org/W2056526875","https://openalex.org/W2064902266","https://openalex.org/W2095709533","https://openalex.org/W2121066841","https://openalex.org/W2151001908","https://openalex.org/W2151554678","https://openalex.org/W2159041313","https://openalex.org/W2171440583","https://openalex.org/W2242756877","https://openalex.org/W2752061190","https://openalex.org/W2752853835","https://openalex.org/W2914775474","https://openalex.org/W6603673492","https://openalex.org/W6630468215","https://openalex.org/W6631895800","https://openalex.org/W6685071703","https://openalex.org/W6744529318"],"related_works":["https://openalex.org/W1999084560","https://openalex.org/W2998167408","https://openalex.org/W2355676621","https://openalex.org/W2394470897","https://openalex.org/W2161291324","https://openalex.org/W2767251299","https://openalex.org/W4360996914","https://openalex.org/W2360310504","https://openalex.org/W2786126153","https://openalex.org/W1509210044"],"abstract_inverted_index":{"Achieving":[0],"good":[1],"performance":[2],"with":[3,82],"a":[4,32,48,53],"parallel":[5],"genetic":[6,36,85],"algorithm":[7,86],"requires":[8],"properly":[9],"configuring":[10],"control":[11,28,61],"parameters":[12,43,88],"such":[13],"as":[14],"mutation":[15],"rate,":[16,18],"crossover":[17],"and":[19],"population":[20],"size.":[21],"We":[22],"consider":[23],"the":[24,94],"problem":[25],"of":[26,93],"setting":[27],"parameter":[29,62],"values":[30,63],"in":[31],"standard,":[33],"island-model":[34],"distributed":[35,84],"algorithm.":[37],"As":[38],"an":[39],"alternative":[40],"to":[41,64],"tuning":[42],"by":[44],"hand":[45],"or":[46],"using":[47,87],"self-adaptive":[49],"approach,":[50],"we":[51],"propose":[52],"very":[54],"simple":[55,74],"strategy":[56],"which":[57,79],"statically":[58],"assigns":[59],"random":[60],"each":[65,92],"processor.":[66],"Experiments":[67],"on":[68],"benchmark":[69],"problems":[70],"show":[71],"that":[72],"this":[73],"approach":[75],"can":[76],"yield":[77],"results":[78],"are":[80],"competitive":[81],"homogeneous":[83],"tuned":[89],"specifically":[90],"for":[91],"benchmarks.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}