{"id":"https://openalex.org/W4388486995","doi":"https://doi.org/10.1007/s10710-023-09462-2","title":"Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search","display_name":"Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search","publication_year":2023,"publication_date":"2023-11-08","ids":{"openalex":"https://openalex.org/W4388486995","doi":"https://doi.org/10.1007/s10710-023-09462-2"},"language":"en","primary_location":{"id":"doi:10.1007/s10710-023-09462-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10710-023-09462-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10710-023-09462-2.pdf","source":{"id":"https://openalex.org/S47930974","display_name":"Genetic Programming and Evolvable Machines","issn_l":"1389-2576","issn":["1389-2576","1573-7632"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genetic Programming and Evolvable Machines","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10710-023-09462-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081286845","display_name":"David Wittenberg","orcid":"https://orcid.org/0000-0001-5435-0426"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"David Wittenberg","raw_affiliation_strings":["Johannes Gutenberg University, Mainz, Rhineland Palatinate, Germany"],"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University, Mainz, Rhineland Palatinate, Germany","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035443886","display_name":"Franz Rothlauf","orcid":"https://orcid.org/0000-0003-3376-427X"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Franz Rothlauf","raw_affiliation_strings":["Johannes Gutenberg University, Mainz, Rhineland Palatinate, Germany"],"affiliations":[{"raw_affiliation_string":"Johannes Gutenberg University, Mainz, Rhineland Palatinate, Germany","institution_ids":["https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045218915","display_name":"Christian Gagn\u00e9","orcid":"https://orcid.org/0000-0003-3697-4184"},"institutions":[{"id":"https://openalex.org/I43406934","display_name":"Universit\u00e9 Laval","ror":"https://ror.org/04sjchr03","country_code":"CA","type":"education","lineage":["https://openalex.org/I43406934"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Christian Gagn\u00e9","raw_affiliation_strings":["Laval University, Quebec City,  QC, Canada"],"affiliations":[{"raw_affiliation_string":"Laval University, Quebec City,  QC, Canada","institution_ids":["https://openalex.org/I43406934"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081286845"],"corresponding_institution_ids":["https://openalex.org/I197323543"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890},"fwci":0.3497,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66522579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"24","issue":"2","first_page":null,"last_page":null},"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":0.9987999796867371,"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":0.9930999875068665,"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/computer-science","display_name":"Computer science","score":0.7695475220680237},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.6751432418823242},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6645972728729248},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5049989819526672},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4871782660484314},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.48258793354034424},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4765121042728424},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35764509439468384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3006972670555115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09775012731552124}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7695475220680237},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.6751432418823242},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6645972728729248},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5049989819526672},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4871782660484314},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.48258793354034424},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4765121042728424},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35764509439468384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3006972670555115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09775012731552124},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10710-023-09462-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10710-023-09462-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10710-023-09462-2.pdf","source":{"id":"https://openalex.org/S47930974","display_name":"Genetic Programming and Evolvable Machines","issn_l":"1389-2576","issn":["1389-2576","1573-7632"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genetic Programming and Evolvable Machines","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10710-023-09462-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10710-023-09462-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10710-023-09462-2.pdf","source":{"id":"https://openalex.org/S47930974","display_name":"Genetic Programming and Evolvable Machines","issn_l":"1389-2576","issn":["1389-2576","1573-7632"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Genetic Programming and Evolvable Machines","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8199999928474426}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320875","display_name":"Deutscher Akademischer Austauschdienst","ror":"https://ror.org/039djdh30"},{"id":"https://openalex.org/F4320322301","display_name":"Johannes Gutenberg-Universit\u00e4t Mainz","ror":"https://ror.org/023b0x485"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388486995.pdf"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1499122575","https://openalex.org/W1522379515","https://openalex.org/W1565888202","https://openalex.org/W1576818901","https://openalex.org/W1640641028","https://openalex.org/W1972490687","https://openalex.org/W1996683881","https://openalex.org/W2000220600","https://openalex.org/W2015150738","https://openalex.org/W2015619560","https://openalex.org/W2025768430","https://openalex.org/W2054536516","https://openalex.org/W2057568625","https://openalex.org/W2064675550","https://openalex.org/W2084288340","https://openalex.org/W2102021818","https://openalex.org/W2105241511","https://openalex.org/W2132304387","https://openalex.org/W2142687538","https://openalex.org/W2158824656","https://openalex.org/W2395511881","https://openalex.org/W2484166844","https://openalex.org/W2796481166","https://openalex.org/W2939939499","https://openalex.org/W2953869332","https://openalex.org/W3037244434","https://openalex.org/W3038771732","https://openalex.org/W3040682934","https://openalex.org/W3098952173","https://openalex.org/W3106169594","https://openalex.org/W3126831268","https://openalex.org/W3181368495","https://openalex.org/W4226478414","https://openalex.org/W4285805598","https://openalex.org/W4361768860","https://openalex.org/W4385212233","https://openalex.org/W6609985758","https://openalex.org/W6638367486"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4294770367"],"abstract_inverted_index":{"Abstract":[0],"Denoising":[1],"autoencoder":[2,20],"genetic":[3,14,38],"programming":[4,15],"(DAE-GP)":[5],"is":[6,45,203],"a":[7,26,55],"novel":[8],"neural":[9],"network-based":[10],"estimation":[11],"of":[12,37,50,65,76,99,121,142,162,179],"distribution":[13],"approach":[16],"that":[17,88,135,168],"uses":[18],"denoising":[19],"long":[21],"short-term":[22],"memory":[23],"networks":[24],"as":[25,91,112],"probabilistic":[27,56],"model":[28,57,110],"to":[29,46,59,62,68,93,114,176,185],"replace":[30],"the":[31,43,51,69,74,94,97,107,115,119,122,126,130,140,177,180,187],"standard":[32],"mutation":[33],"and":[34,58,78,129,133,139,147,151,159,171,189,207,209],"recombination":[35],"operators":[36],"programming.":[39],"At":[40],"each":[41],"generation,":[42],"idea":[44],"capture":[47],"promising":[48],"properties":[49,67],"parent":[52],"population":[53],"in":[54,149,192,195],"use":[60],"corruption":[61,77,137,158,170],"transfer":[63],"variations":[64],"these":[66],"offspring.":[70],"This":[71],"work":[72],"studies":[73],"influence":[75,145],"sampling":[79,100,111,143,163,172],"steps":[80,101,144,173],"on":[81],"search.":[82],"Corruption":[83],"partially":[84],"mutates":[85],"candidate":[86],"solutions":[87],"are":[89,174],"used":[90],"input":[92,113],"model,":[95],"whereas":[96],"number":[98,141,161],"defines":[102],"how":[103],"often":[104],"we":[105],"re-use":[106],"output":[108],"during":[109],"model.":[116],"We":[117],"study":[118],"generalization":[120],"royal":[123],"tree":[124],"problem,":[125,128,132],"Airfoil":[127],"Pagie-1":[131],"find":[134],"both":[136,169],"strength":[138],"exploration":[146,154,188,206],"exploitation":[148,190,208],"search":[150,198],"affect":[152],"performance:":[153],"increases":[155],"with":[156],"stronger":[157],"lower":[160],"steps.":[164],"The":[165],"results":[166],"indicate":[167],"key":[175],"success":[178],"DAE-GP:":[181],"it":[182],"permits":[183],"us":[184],"balance":[186],"behavior":[191],"search,":[193],"resulting":[194],"an":[196],"improved":[197],"quality.":[199],"However,":[200],"also":[201],"selection":[202],"important":[204],"for":[205],"should":[210],"be":[211],"chosen":[212],"wisely.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}