{"id":"https://openalex.org/W4385189115","doi":"https://doi.org/10.1145/3583133.3590686","title":"A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming","display_name":"A Selection Hyper-Heuristic for Transfer Learning in Genetic Programming","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385189115","doi":"https://doi.org/10.1145/3583133.3590686"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference 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/A5065352649","display_name":"Jeffrey S. Russell","orcid":"https://orcid.org/0009-0004-6463-291X"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Jeffrey Russell","raw_affiliation_strings":["University of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060039893","display_name":"Nelishia Pillay","orcid":"https://orcid.org/0000-0003-3902-5582"},"institutions":[{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Nelishia Pillay","raw_affiliation_strings":["University of Pretoria, Pretoria, South Africa"],"affiliations":[{"raw_affiliation_string":"University of Pretoria, Pretoria, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065352649"],"corresponding_institution_ids":["https://openalex.org/I69552723"],"apc_list":null,"apc_paid":null,"fwci":1.0438,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81116469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"631","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.996399998664856,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.98089998960495,"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/genetic-programming","display_name":"Genetic programming","score":0.7852237224578857},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.7424904704093933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276238203048706},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.6424624919891357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6312493681907654},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5689811706542969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5604565739631653},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.547610342502594},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.49899935722351074},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4765208959579468},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4631601572036743},{"id":"https://openalex.org/keywords/genetic-representation","display_name":"Genetic representation","score":0.4246682822704315}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7852237224578857},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.7424904704093933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276238203048706},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.6424624919891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6312493681907654},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5689811706542969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5604565739631653},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.547610342502594},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.49899935722351074},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4765208959579468},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4631601572036743},{"id":"https://openalex.org/C6135463","wikidata":"https://www.wikidata.org/wiki/Q5532920","display_name":"Genetic representation","level":3,"score":0.4246682822704315},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320692","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1538597521","https://openalex.org/W2029469881","https://openalex.org/W2395579298","https://openalex.org/W2558577118","https://openalex.org/W2725100189","https://openalex.org/W2894900521","https://openalex.org/W2967187485","https://openalex.org/W3006921505","https://openalex.org/W3035965352","https://openalex.org/W3038170830","https://openalex.org/W3042713055","https://openalex.org/W3083352313","https://openalex.org/W3099878876","https://openalex.org/W3163028974","https://openalex.org/W4311002189"],"related_works":["https://openalex.org/W2374095020","https://openalex.org/W57385547","https://openalex.org/W4320149932","https://openalex.org/W4315697759","https://openalex.org/W2275389559","https://openalex.org/W1589480767","https://openalex.org/W4226048488","https://openalex.org/W1538645798","https://openalex.org/W2388389384","https://openalex.org/W1489075978"],"abstract_inverted_index":{"Transfer":[0],"learning":[1,117],"has":[2,25,53,66,90],"recently":[3],"gained":[4],"popularity":[5],"in":[6,84,120],"the":[7,33,109],"evolutionary":[8,50],"algorithms":[9,51],"space.":[10],"Determining":[11],"a":[12,27,62],"good":[13],"criteria":[14],"for":[15],"how":[16,40,81],"to":[17,31,41,69,75,78,82,93],"transfer":[18,42,57,71,79,116],"knowledge":[19],"can":[20],"be":[21],"very":[22],"challenging.":[23],"It":[24],"been":[26,67,91],"focus":[28],"of":[29,35,49],"research":[30],"optimize":[32,70],"process":[34],"deciding":[36],"what,":[37],"when":[38,77],"and":[39,80,95],"knowledge.":[43],"Genetic":[44],"programming":[45],"is":[46],"an":[47],"area":[48],"that":[52],"benefited":[54],"greatly":[55],"from":[56],"learning.":[58],"In":[59],"this":[60],"paper,":[61],"selection":[63],"hyper-heuristic":[64,110],"(SHeTL)":[65],"used":[68,119],"learning,":[72],"i.e.":[73],"what":[74],"transfer,":[76,83],"genetic":[85,106,121],"programming.":[86,107,122],"The":[87],"proposed":[88],"approach":[89],"applied":[92],"benchmark":[94],"real-world":[96],"symbolic":[97],"regression":[98],"problems.":[99],"SHeTL":[100],"produced":[101,111],"significant":[102],"improvements":[103],"over":[104],"canonical":[105],"Furthermore,":[108],"better":[112],"results":[113],"than":[114],"previous":[115],"approaches":[118]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
