{"id":"https://openalex.org/W2197254263","doi":"https://doi.org/10.1145/1830761.1830769","title":"Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution","display_name":"Probability matching-based adaptive strategy selection vs. uniform strategy selection within differential evolution","publication_year":2010,"publication_date":"2010-07-07","ids":{"openalex":"https://openalex.org/W2197254263","doi":"https://doi.org/10.1145/1830761.1830769","mag":"2197254263"},"language":"en","primary_location":{"id":"doi:10.1145/1830761.1830769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830769","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":"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/A5076355487","display_name":"\u00c1lvaro Fialho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161634","display_name":"Microsoft (France)","ror":"https://ror.org/0521n7n83","country_code":"FR","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210161634"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en informatique et en automatique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"\u00c1lvaro Fialho","raw_affiliation_strings":["Microsoft Research - INRIA Joint Centre, Orsay, France"],"affiliations":[{"raw_affiliation_string":"Microsoft Research - INRIA Joint Centre, Orsay, France","institution_ids":["https://openalex.org/I4210161634","https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013105439","display_name":"Wenyin Gong","orcid":"https://orcid.org/0000-0003-1610-6865"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyin Gong","raw_affiliation_strings":["China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["China University of Geosciences, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076355487"],"corresponding_institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I4210161634"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81806943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1527","last_page":"1534"},"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":0.9943000078201294,"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/differential-evolution","display_name":"Differential evolution","score":0.7843154668807983},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6915400624275208},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6595385670661926},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517393589019775},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.6506131887435913},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.600116491317749},{"id":"https://openalex.org/keywords/test-suite","display_name":"Test suite","score":0.5979217886924744},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5343828201293945},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48711657524108887},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.4535582363605499},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.45206722617149353},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4299645721912384},{"id":"https://openalex.org/keywords/cma-es","display_name":"CMA-ES","score":0.41664111614227295},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.41102683544158936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3619098663330078},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30744677782058716},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20801720023155212},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18176719546318054},{"id":"https://openalex.org/keywords/test-case","display_name":"Test case","score":0.0866469144821167}],"concepts":[{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.7843154668807983},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6915400624275208},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6595385670661926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517393589019775},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.6506131887435913},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.600116491317749},{"id":"https://openalex.org/C151552104","wikidata":"https://www.wikidata.org/wiki/Q7705809","display_name":"Test suite","level":4,"score":0.5979217886924744},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5343828201293945},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48711657524108887},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.4535582363605499},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.45206722617149353},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4299645721912384},{"id":"https://openalex.org/C205555498","wikidata":"https://www.wikidata.org/wiki/Q505588","display_name":"CMA-ES","level":4,"score":0.41664111614227295},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.41102683544158936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3619098663330078},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30744677782058716},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20801720023155212},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18176719546318054},{"id":"https://openalex.org/C128942645","wikidata":"https://www.wikidata.org/wiki/Q1568346","display_name":"Test case","level":3,"score":0.0866469144821167},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1830761.1830769","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830769","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"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.652.724","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.652.724","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://hal.inria.fr/inria-00494538/document/","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.698.8509","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.8509","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://hal.inria.fr/file/index/docid/494538/filename/pmadapssde-bbob10.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W194800985","https://openalex.org/W1498004387","https://openalex.org/W1499983649","https://openalex.org/W1595159159","https://openalex.org/W1879678483","https://openalex.org/W1950681193","https://openalex.org/W1996445475","https://openalex.org/W2057338644","https://openalex.org/W2112681424","https://openalex.org/W2126991807","https://openalex.org/W2135366549","https://openalex.org/W2137340504","https://openalex.org/W2154047522","https://openalex.org/W2171263583"],"related_works":["https://openalex.org/W8431176","https://openalex.org/W4206833511","https://openalex.org/W2102869784","https://openalex.org/W2956183930","https://openalex.org/W2052367557","https://openalex.org/W2055683077","https://openalex.org/W2018004473","https://openalex.org/W2475446362","https://openalex.org/W2091794924","https://openalex.org/W2474606508"],"abstract_inverted_index":{"Different":[0],"strategies":[1,96],"can":[2],"be":[3,25,78,108],"used":[4],"for":[5],"the":[6,13,18,28,43,51,60,74,82,89,94,98,113,118],"generation":[7],"of":[8,20,22,91,93,121],"new":[9],"candidate":[10],"solutions":[11],"on":[12,81,97],"Differential":[14],"Evolution":[15],"algorithm.":[16],"However,":[17],"definition":[19],"which":[21],"them":[23],"should":[24],"applied":[26],"to":[27,42,56,71,77],"problem":[29],"at":[30],"hand":[31],"is":[32,103],"not":[33],"trivial,":[34],"besides":[35],"being":[36],"a":[37,68,109],"sensitive":[38],"choice":[39],"with":[40,105],"relation":[41],"algorithm":[44],"performance.":[45],"In":[46],"this":[47],"paper,":[48],"we":[49],"use":[50],"BBOB-2010":[52],"noiseless":[53],"benchmarking":[54],"suite":[55],"further":[57],"empirically":[58],"validate":[59],"Probability":[61],"Matching-based":[62],"Adaptive":[63],"Strategy":[64],"Selection":[65],"(PM-AdapSS-DE)":[66],"[4],":[67],"method":[69],"proposed":[70],"automatically":[72],"select":[73],"mutation":[75],"strategy":[76,115],"applied,":[79],"based":[80],"relative":[83],"fitness":[84],"improvements":[85],"recently":[86],"achieved":[87],"by":[88],"application":[90],"each":[92],"available":[95],"current":[99],"optimization":[100],"process.":[101],"It":[102],"compared":[104],"what":[106],"would":[107],"timeless":[110],"(naive)":[111],"choice,":[112],"uniform":[114],"selection":[116],"within":[117],"same":[119],"sub-set":[120],"strategies.":[122]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}