{"id":"https://openalex.org/W2482526712","doi":"https://doi.org/10.1145/2908961.2926996","title":"Biased Ranom-Key Genetic Algorithms","display_name":"Biased Ranom-Key Genetic Algorithms","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2482526712","doi":"https://doi.org/10.1145/2908961.2926996","mag":"2482526712"},"language":"en","primary_location":{"id":"doi:10.1145/2908961.2926996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2926996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on 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/A5029261812","display_name":"Maur\u00edcio G. C. Resende","orcid":"https://orcid.org/0000-0001-7462-6207"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mauricio G.C. Resende","raw_affiliation_strings":["Amazon.com, Inc., Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"Amazon.com, Inc., Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032142322","display_name":"Celso C. Ribeiro","orcid":"https://orcid.org/0000-0002-9478-2351"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Celso C. Ribeiro","raw_affiliation_strings":["U. Federal Fluminense, Niter\u00f3i, Brazil"],"affiliations":[{"raw_affiliation_string":"U. Federal Fluminense, Niter\u00f3i, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029261812"],"corresponding_institution_ids":["https://openalex.org/I1311688040"],"apc_list":null,"apc_paid":null,"fwci":0.4178,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69507915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"483","last_page":"514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/key","display_name":"Key (lock)","score":0.8623805046081543},{"id":"https://openalex.org/keywords/quality-control-and-genetic-algorithms","display_name":"Quality control and genetic algorithms","score":0.7290023565292358},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6531627774238586},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6089363694190979},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4798978567123413},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41911524534225464},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.37673264741897583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23618507385253906},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2002744972705841}],"concepts":[{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.8623805046081543},{"id":"https://openalex.org/C161164918","wikidata":"https://www.wikidata.org/wiki/Q7268775","display_name":"Quality control and genetic algorithms","level":4,"score":0.7290023565292358},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6531627774238586},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6089363694190979},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4798978567123413},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41911524534225464},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.37673264741897583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23618507385253906},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2002744972705841},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2908961.2926996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908961.2926996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1509050436","https://openalex.org/W1981970233","https://openalex.org/W2015717108","https://openalex.org/W2021757872","https://openalex.org/W2095552336","https://openalex.org/W2151094870","https://openalex.org/W2153386665","https://openalex.org/W2153459888","https://openalex.org/W2165121267","https://openalex.org/W2295381714"],"related_works":["https://openalex.org/W2031035514","https://openalex.org/W1981084155","https://openalex.org/W2482526712","https://openalex.org/W2064754602","https://openalex.org/W2386922710","https://openalex.org/W1980766827","https://openalex.org/W2355676621","https://openalex.org/W2393028097","https://openalex.org/W2353368228","https://openalex.org/W2369480021"],"abstract_inverted_index":{"A":[0],"biased":[1],"random-key":[2,27],"genetic":[3,28,50],"algorithm":[4,29],"(BRKGA)":[5],"is":[6,23],"a":[7],"general":[8],"search":[9],"procedure":[10],"for":[11],"finding":[12],"optimal":[13],"or":[14],"near-optimal":[15],"solutions":[16,37],"to":[17,40],"hard":[18],"combinatorial":[19],"optimization":[20],"problems.":[21],"It":[22],"derived":[24],"from":[25],"the":[26,35],"of":[30],"Bean":[31],"(1994),":[32],"differing":[33],"in":[34],"way":[36],"are":[38],"combined":[39],"produce":[41],"offspring.":[42],"BRKGAs":[43],"have":[44],"three":[45],"key":[46],"features":[47],"that":[48],"specialize":[49],"algorithms:":[51]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
