{"id":"https://openalex.org/W4226453496","doi":"https://doi.org/10.3390/a15010024","title":"Transfer Learning for Operator Selection: A Reinforcement Learning Approach","display_name":"Transfer Learning for Operator Selection: A Reinforcement Learning Approach","publication_year":2022,"publication_date":"2022-01-17","ids":{"openalex":"https://openalex.org/W4226453496","doi":"https://doi.org/10.3390/a15010024"},"language":"en","primary_location":{"id":"doi:10.3390/a15010024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010024","pdf_url":"https://www.mdpi.com/1999-4893/15/1/24/pdf?version=1642400991","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/1/24/pdf?version=1642400991","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054318421","display_name":"Rafet Durgut","orcid":"https://orcid.org/0000-0002-6891-5851"},"institutions":[{"id":"https://openalex.org/I3133171086","display_name":"Band\u0131rma Onyedi Eyl\u00fcl University","ror":"https://ror.org/02mtr7g38","country_code":"TR","type":"education","lineage":["https://openalex.org/I3133171086"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Rafet Durgut","raw_affiliation_strings":["Department of Computer Engineering, Bandirma Onyedi Eylul University, Bandirma 10200, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bandirma Onyedi Eylul University, Bandirma 10200, Turkey","institution_ids":["https://openalex.org/I3133171086"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100723909","display_name":"Mehmet Emin Ayd\u0131n","orcid":"https://orcid.org/0000-0002-4890-5648"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mehmet Emin Aydin","raw_affiliation_strings":["Department of Computer Science and Creative Technologies, UWE Bristol, Bristol BS16 1QY, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Creative Technologies, UWE Bristol, Bristol BS16 1QY, UK","institution_ids":["https://openalex.org/I178535277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017445294","display_name":"Abdur Rakib","orcid":"https://orcid.org/0000-0001-5430-450X"},"institutions":[{"id":"https://openalex.org/I178535277","display_name":"University of the West of England","ror":"https://ror.org/02nwg5t34","country_code":"GB","type":"education","lineage":["https://openalex.org/I178535277"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Abdur Rakib","raw_affiliation_strings":["Department of Computer Science and Creative Technologies, UWE Bristol, Bristol BS16 1QY, UK"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Creative Technologies, UWE Bristol, Bristol BS16 1QY, UK","institution_ids":["https://openalex.org/I178535277"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054318421"],"corresponding_institution_ids":["https://openalex.org/I3133171086"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.6548,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86058439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"1","first_page":"24","last_page":"24"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9961000084877014,"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":0.9955999851226807,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8526442050933838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7609734535217285},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.6254769563674927},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5930291414260864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5693925619125366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.52816241979599},{"id":"https://openalex.org/keywords/knapsack-problem","display_name":"Knapsack problem","score":0.5280046463012695},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5070712566375732},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5065051317214966},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.47364962100982666},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4330516755580902},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4318443536758423},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.42031049728393555},{"id":"https://openalex.org/keywords/instance-based-learning","display_name":"Instance-based learning","score":0.41153043508529663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15261948108673096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14780473709106445}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8526442050933838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7609734535217285},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.6254769563674927},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5930291414260864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5693925619125366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.52816241979599},{"id":"https://openalex.org/C113138325","wikidata":"https://www.wikidata.org/wiki/Q864457","display_name":"Knapsack problem","level":2,"score":0.5280046463012695},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5070712566375732},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5065051317214966},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.47364962100982666},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4330516755580902},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4318443536758423},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.42031049728393555},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.41153043508529663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15261948108673096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14780473709106445},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/a15010024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010024","pdf_url":"https://www.mdpi.com/1999-4893/15/1/24/pdf?version=1642400991","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3608da497c84436c9f2e6ff6b99082ef","is_oa":true,"landing_page_url":"https://doaj.org/article/3608da497c84436c9f2e6ff6b99082ef","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 1, p 24 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/1/24/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15010024","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 15; Issue 1; Pages: 24","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15010024","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15010024","pdf_url":"https://www.mdpi.com/1999-4893/15/1/24/pdf?version=1642400991","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4226453496.pdf","grobid_xml":"https://content.openalex.org/works/W4226453496.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1566803874","https://openalex.org/W1997807546","https://openalex.org/W2021165130","https://openalex.org/W2028145591","https://openalex.org/W2039148220","https://openalex.org/W2082488647","https://openalex.org/W2083457599","https://openalex.org/W2093221924","https://openalex.org/W2115831163","https://openalex.org/W2123747410","https://openalex.org/W2143381319","https://openalex.org/W2165698076","https://openalex.org/W2169064301","https://openalex.org/W2210287443","https://openalex.org/W2625926059","https://openalex.org/W2742310559","https://openalex.org/W2885435316","https://openalex.org/W2887280559","https://openalex.org/W2943360099","https://openalex.org/W2970726627","https://openalex.org/W3081134658","https://openalex.org/W3100789280","https://openalex.org/W3110630544","https://openalex.org/W3196495109","https://openalex.org/W3203930809","https://openalex.org/W4213458747","https://openalex.org/W4246309810","https://openalex.org/W4292083457","https://openalex.org/W6682642761","https://openalex.org/W6684942446"],"related_works":["https://openalex.org/W184546935","https://openalex.org/W146740654","https://openalex.org/W2534140487","https://openalex.org/W2131495543","https://openalex.org/W2037866349","https://openalex.org/W2021806873","https://openalex.org/W4386394212","https://openalex.org/W4299830350","https://openalex.org/W3179999069","https://openalex.org/W2106701323"],"abstract_inverted_index":{"In":[0,78],"the":[1,51,71,75,79,94,110,136,142,180,183,189],"past":[2],"two":[3],"decades,":[4],"metaheuristic":[5],"optimisation":[6],"algorithms":[7,25],"(MOAs)":[8],"have":[9],"been":[10,106],"increasingly":[11],"popular,":[12],"particularly":[13],"in":[14,44,173],"logistic,":[15],"science,":[16],"and":[17,39,60,149],"engineering":[18],"problems.":[19],"The":[20,132,168,175],"fundamental":[21],"characteristics":[22],"of":[23,50,58,81,135,144],"such":[24],"are":[26,29,42,170],"that":[27,120],"they":[28],"dependent":[30],"on":[31,147],"a":[32,35,68,99,152,155],"parameter":[33],"or":[34,64],"strategy.":[36],"Some":[37],"online":[38],"offline":[40],"strategies":[41],"employed":[43],"order":[45],"to":[46,66,88,97,108,118,130,140,179],"obtain":[47],"optimal":[48],"configurations":[49],"algorithms.":[52],"Adaptive":[53],"operator":[54,111],"selection":[55,112],"is":[56,139,166],"one":[57,127],"them,":[59],"it":[61],"determines":[62],"whether":[63],"not":[65],"update":[67],"strategy":[69,72],"from":[70,93,126],"pool":[73],"during":[74],"search":[76],"process.":[77,113],"field":[80],"machine":[82],"learning,":[83],"Reinforcement":[84],"Learning":[85],"(RL)":[86],"refers":[87],"goal-oriented":[89],"algorithms,":[90],"which":[91],"learn":[92],"environment":[95],"how":[96],"achieve":[98],"goal.":[100],"On":[101],"MOAs,":[102],"reinforcement":[103],"learning":[104,146,176],"has":[105],"utilised":[107],"control":[109],"However,":[114],"existing":[115],"research":[116,138],"fails":[117],"show":[119],"learned":[121],"information":[122],"may":[123],"be":[124],"transferred":[125],"problem-solving":[128],"procedure":[129],"another.":[131],"primary":[133],"goal":[134],"proposed":[137],"determine":[141],"impact":[143],"transfer":[145],"RL":[148],"MOAs.":[150],"As":[151],"test":[153],"problem,":[154],"set":[156],"union":[157],"knapsack":[158],"problem":[159,164],"with":[160],"30":[161],"separate":[162],"benchmark":[163],"instances":[165],"used.":[167],"results":[169],"statistically":[171],"compared":[172],"depth.":[174],"process,":[177],"according":[178],"findings,":[181],"improved":[182],"convergence":[184],"speed":[185],"while":[186],"significantly":[187],"reducing":[188],"CPU":[190],"time.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}