{"id":"https://openalex.org/W2206705059","doi":"https://doi.org/10.1145/1830761.1830796","title":"Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed","display_name":"Real-coded genetic algorithm benchmarked on noiseless black-box optimization testbed","publication_year":2010,"publication_date":"2010-07-07","ids":{"openalex":"https://openalex.org/W2206705059","doi":"https://doi.org/10.1145/1830761.1830796","mag":"2206705059"},"language":"en","primary_location":{"id":"doi:10.1145/1830761.1830796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5091653726","display_name":"Thanh-Do Tran","orcid":"https://orcid.org/0000-0001-6370-6236"},"institutions":[{"id":"https://openalex.org/I197867492","display_name":"Korea Maritime and Ocean University","ror":"https://ror.org/01v7y5b55","country_code":"KR","type":"education","lineage":["https://openalex.org/I197867492"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Thanh-Do Tran","raw_affiliation_strings":["Korea Maritime University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Maritime University, Busan, South Korea","institution_ids":["https://openalex.org/I197867492"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074018394","display_name":"Gang-Gyoo Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I197867492","display_name":"Korea Maritime and Ocean University","ror":"https://ror.org/01v7y5b55","country_code":"KR","type":"education","lineage":["https://openalex.org/I197867492"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Gang-Gyoo Jin","raw_affiliation_strings":["Korea Maritime University, Busan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Maritime University, Busan, South Korea","institution_ids":["https://openalex.org/I197867492"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197867492"],"apc_list":null,"apc_paid":null,"fwci":1.0899,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79041529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1731","last_page":"1738"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9986000061035156,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9972000122070312,"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/testbed","display_name":"Testbed","score":0.7168344259262085},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6983374953269958},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517887115478516},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5836634039878845},{"id":"https://openalex.org/keywords/meta-optimization","display_name":"Meta-optimization","score":0.5644546747207642},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5564122796058655},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5333670973777771},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5188344717025757},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.516890287399292},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.48929068446159363},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44564709067344666},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4368245005607605},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43507322669029236},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41925734281539917},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22969752550125122},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17786675691604614},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10409244894981384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08282428979873657}],"concepts":[{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7168344259262085},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6983374953269958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517887115478516},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5836634039878845},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.5644546747207642},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5564122796058655},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5333670973777771},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5188344717025757},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.516890287399292},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.48929068446159363},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44564709067344666},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4368245005607605},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43507322669029236},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41925734281539917},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22969752550125122},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17786675691604614},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10409244894981384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08282428979873657},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1830761.1830796","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference companion on Genetic and evolutionary computation","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":11,"referenced_works":["https://openalex.org/W1901460","https://openalex.org/W1207670885","https://openalex.org/W1497256448","https://openalex.org/W1499983649","https://openalex.org/W1613273921","https://openalex.org/W1932517356","https://openalex.org/W2142183404","https://openalex.org/W2171263583","https://openalex.org/W4246565613","https://openalex.org/W4301173492","https://openalex.org/W6629610141"],"related_works":["https://openalex.org/W2097263684","https://openalex.org/W3082671201","https://openalex.org/W2793049785","https://openalex.org/W2204961196","https://openalex.org/W2047311030","https://openalex.org/W2009473289","https://openalex.org/W2165354458","https://openalex.org/W2128719902","https://openalex.org/W3087639222","https://openalex.org/W2368772651"],"abstract_inverted_index":{"Genetic":[0],"algorithms--a":[1],"class":[2],"of":[3,37,71,94,140,143],"stochastic":[4],"population-based":[5],"optimization":[6,18,56,89],"techniques--have":[7],"been":[8],"widely":[9],"realized":[10],"as":[11],"the":[12,22,34,42,72,86,105,114,123,130,133,153],"effective":[13],"tools":[14],"to":[15,84,102,127,132,149,156],"solve":[16,128],"complicated":[17],"problems":[19],"arising":[20],"from":[21],"diverse":[23],"application":[24],"domains.":[25],"Originally":[26],"developed":[27],"version":[28],"was":[29],"a":[30,61,79],"genetic":[31,63],"algorithm":[32,64,115,124],"with":[33,78,152],"binary":[35],"representation":[36],"candidate":[38],"solutions":[39],"(i.e.":[40],"chromosomes),":[41],"real-coded":[43,62],"versions":[44],"are,":[45],"however,":[46],"basically":[47],"superior":[48],"and":[49],"frequently":[50],"utilized":[51],"in":[52],"tackling":[53],"complex":[54],"real-valued":[55],"tasks.":[57],"In":[58],"this":[59],"paper,":[60],"(RCGA),":[65],"which":[66],"employs":[67],"an":[68],"adaptive-range":[69],"variant":[70],"well-known":[73],"non-uniform":[74],"mutation,":[75],"is":[76,100,125],"furnished":[77],"multiple":[80],"independent":[81],"restarts":[82],"mechanism":[83],"benchmark":[85],"noise-free":[87],"black-box":[88],"testbed.":[90],"The":[91],"maximum":[92],"number":[93],"function":[95],"evaluations":[96],"for":[97,137],"each":[98,138],"run":[99],"set":[101],"50000":[103],"times":[104],"search":[106,111],"space":[107,112],"dimension.":[108],"For":[109],"low":[110],"dimensions,":[113],"shows":[116],"encouraging":[117],"results":[118],"on":[119],"several":[120],"functions.":[121],"Although":[122],"unable":[126],"all":[129],"functions":[131],"highest":[134],"required":[135],"accuracy,":[136],"type":[139],"functions,":[141],"some":[142],"them":[144],"can":[145],"be":[146],"solved,":[147],"especially":[148],"lower":[150],"precision,":[151],"dimension":[154],"up":[155],"40.":[157]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}