乐胖代购免代理版

{"id":"https://openalex.org/W2040166389","doi":"https://doi.org/10.1142/s0218213012500054","title":"A FITNESS-BASED MULTI-PARENT CROSSOVER OPERATOR WITH PROBABILISTIC SELECTION","display_name":"A FITNESS-BASED MULTI-PARENT CROSSOVER OPERATOR WITH PROBABILISTIC SELECTION","publication_year":2012,"publication_date":"2012-01-06","ids":{"openalex":"https://openalex.org/W2040166389","doi":"https://doi.org/10.1142/s0218213012500054","mag":"2040166389"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213012500054","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5061106498","display_name":"Surapong Auwatanamongkol","orcid":null},"institutions":[{"id":"https://openalex.org/I159665162","display_name":"National Institute of Development Administration","ror":"https://ror.org/010g30191","country_code":"TH","type":"education","lineage":["https://openalex.org/I159665162"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"SURAPONG AUWATANAMONGKOL","raw_affiliation_strings":["School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand"],"affiliations":[{"raw_affiliation_string":"School of Applied Statistics, National Institute of Development Administration, Bangkok, Thailand","institution_ids":["https://openalex.org/I159665162"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061106498"],"corresponding_institution_ids":["https://openalex.org/I159665162"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":64},"biblio":{"volume":"21","issue":"01","first_page":"1250005","last_page":"1250005"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9991,"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":0.9991,"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":0.9938,"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":0.981,"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/operator","display_name":"Operator (biology)","score":0.73700535},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.6716807},{"id":"https://openalex.org/keywords/genetic-operator","display_name":"Genetic operator","score":0.5428966}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.92474926},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75616467},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.73700535},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6896211},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.6716807},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6228947},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5837313},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.54895216},{"id":"https://openalex.org/C9899798","wikidata":"https://www.wikidata.org/wiki/Q629399","display_name":"Genetic operator","level":4,"score":0.5428966},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4995873},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.43427175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26183122},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2386637},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18592697},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C184497298","wikidata":"https://www.wikidata.org/wiki/Q7229773","display_name":"Population-based incremental learning","level":3,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218213012500054","pdf_url":null,"source":{"id":"https://openalex.org/S178780388","display_name":"International Journal of Artificial Intelligence Tools","issn_l":"0218-2130","issn":["0218-2130","1793-6349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":13,"referenced_works":["https://openalex.org/W1482493616","https://openalex.org/W1507582389","https://openalex.org/W1588189919","https://openalex.org/W1980398615","https://openalex.org/W2031103608","https://openalex.org/W2101104272","https://openalex.org/W2113849712","https://openalex.org/W2117419243","https://openalex.org/W2128773559","https://openalex.org/W2159000073","https://openalex.org/W4298851888","https://openalex.org/W47058917","https://openalex.org/W59428951"],"related_works":["https://openalex.org/W2809283963","https://openalex.org/W2367260997","https://openalex.org/W2354374578","https://openalex.org/W2352852890","https://openalex.org/W2124708775","https://openalex.org/W2115729582","https://openalex.org/W2110531080","https://openalex.org/W2047271940","https://openalex.org/W2014162767","https://openalex.org/W17496436"],"abstract_inverted_index":{"Several":[0],"multi-parent":[1,79,160],"crossover":[2,80,161],"operators":[3,18,31],"have":[4],"been":[5],"proposed":[6],"to":[7,22,33,51,56,64,99,117],"increase":[8],"the":[9,17,30,38,90,94,101,122,126,143],"performance":[10],"of":[11,42,125],"genetic":[12,83],"algorithms.":[13,84],"In":[14],"these":[15],"cases,":[16],"allow":[19,118],"several":[20],"parents":[21],"simultaneously":[23],"take":[24],"part":[25],"in":[26,97,121,131],"creating":[27],"offspring.":[28],"However,":[29],"need":[32],"find":[34],"a":[35,74,109],"balance":[36],"between":[37],"two":[39,95],"conflicting":[40],"goals":[41,96],"exploitation":[43,47,130],"and":[44,128,150],"exploration.":[45],"Strong":[46],"allows":[48],"fast":[49],"convergence":[50,58,152],"succeed":[52],"but":[53,68],"can":[54,62,145],"lead":[55,63],"premature":[57],"while":[59],"strong":[60,119,129],"exploration":[61,120],"better":[65,147],"solution":[66,148],"quality":[67,149],"slower":[69],"convergence.":[70],"This":[71],"paper":[72],"proposes":[73],"new":[75,86],"fitness":[76],"based":[77],"scanning":[78],"operator":[81,87,107,144],"for":[82,93],"The":[85,106],"seeks":[88],"out":[89],"optimal":[91],"setting":[92],"order":[98],"achieve":[100],"highest":[102],"benefits":[103],"from":[104],"both.":[105],"uses":[108],"probabilistic":[110],"selection":[111],"with":[112,156],"an":[113],"incremental":[114],"threshold":[115],"value":[116],"early":[123],"stages":[124],"algorithms":[127],"their":[132],"later":[133],"stages.":[134],"Experiments":[135],"conducted":[136],"on":[137],"some":[138,157],"test":[139],"functions":[140],"show":[141],"that":[142],"give":[146],"more":[151],"consistency":[153],"when":[154],"compared":[155],"other":[158],"well-known":[159],"operators.":[162]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2040166389","counts_by_year":[],"updated_date":"2024-12-08T21:59:03.175676","created_date":"2016-06-24"}