{"id":"https://openalex.org/W3012825518","doi":"https://doi.org/10.1145/3377930.3390197","title":"Safe crossover of neural networks through neuron alignment","display_name":"Safe crossover of neural networks through neuron alignment","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W3012825518","doi":"https://doi.org/10.1145/3377930.3390197","mag":"3012825518"},"language":"en","primary_location":{"id":"doi:10.1145/3377930.3390197","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2003.10306","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Thomas Uriot","orcid":null},"institutions":[{"id":"https://openalex.org/I44377176","display_name":"European Space Research and Technology Centre","ror":"https://ror.org/03h3jqn23","country_code":"NL","type":"government","lineage":["https://openalex.org/I2801994115","https://openalex.org/I44377176"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas Uriot","raw_affiliation_strings":["European Space Agency Noordwijk, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Space Agency Noordwijk, The Netherlands","institution_ids":["https://openalex.org/I44377176"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dario Izzo","orcid":null},"institutions":[{"id":"https://openalex.org/I44377176","display_name":"European Space Research and Technology Centre","ror":"https://ror.org/03h3jqn23","country_code":"NL","type":"government","lineage":["https://openalex.org/I2801994115","https://openalex.org/I44377176"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Dario Izzo","raw_affiliation_strings":["European Space Agency Noordwijk, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Space Agency Noordwijk, The Netherlands","institution_ids":["https://openalex.org/I44377176"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44377176"],"apc_list":null,"apc_paid":null,"fwci":0.9042,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.81617157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"435","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9765999913215637,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.9466999769210815},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6629999876022339},{"id":"https://openalex.org/keywords/neuroevolution","display_name":"Neuroevolution","score":0.6272000074386597},{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.6212000250816345},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5713000297546387},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4936000108718872}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9466999769210815},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6629999876022339},{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.6272000074386597},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.6212000250816345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5936999917030334},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5713000297546387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5550000071525574},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4936000108718872},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4925999939441681},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3840000033378601},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3668000102043152},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2678000032901764}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3377930.3390197","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377930.3390197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2003.10306","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10306","pdf_url":"https://arxiv.org/pdf/2003.10306","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2003.10306","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2003.10306","pdf_url":"https://arxiv.org/pdf/2003.10306","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W44465109","https://openalex.org/W1653273292","https://openalex.org/W1856484492","https://openalex.org/W1971801697","https://openalex.org/W1976294505","https://openalex.org/W2017634446","https://openalex.org/W2058821514","https://openalex.org/W2062038453","https://openalex.org/W2128254988","https://openalex.org/W2138784882","https://openalex.org/W2145339207","https://openalex.org/W2147147005","https://openalex.org/W2148067905","https://openalex.org/W2165776394","https://openalex.org/W2532051685","https://openalex.org/W2767589925","https://openalex.org/W2906697496","https://openalex.org/W2962975462","https://openalex.org/W3007384386"],"related_works":[],"abstract_inverted_index":{"One":[0],"of":[1,12,53,60,89,112,145],"the":[2,10,42,62,71,87,90,105,143,179],"main":[3],"and":[4,101,120,132,136,161,184,196],"largely":[5],"unexplored":[6],"challenges":[7],"in":[8,192],"evolving":[9],"weights":[11,144],"neural":[13,47,147],"networks":[14,48],"using":[15],"genetic":[16],"algorithms":[17],"is":[18,45,66,169],"to":[19,32,51,57,69,159,177],"find":[20],"a":[21,80,175,188],"sensible":[22],"crossover":[23,30,83,129,141,187],"operation":[24],"between":[25,115],"parent":[26],"networks.":[27],"Indeed,":[28],"naive":[29,165],"leads":[31],"functionally":[33,93],"damaged":[34],"offspring":[35,160],"that":[36,152],"do":[37],"not":[38],"retain":[39],"information":[40,156],"from":[41,157],"parents.":[43],"This":[44,65],"because":[46],"are":[49,92,104],"invariant":[50],"permutations":[52],"neurons,":[54],"giving":[55],"rise":[56],"multiple":[58],"ways":[59,111],"representing":[61],"same":[63],"solution.":[64],"often":[67],"referred":[68],"as":[70,174],"competing":[72],"conventions":[73],"problem.":[74],"In":[75],"this":[76],"paper,":[77],"we":[78],"propose":[79],"two-step":[81],"safe":[82,128,186],"(SC)":[84],"operator.":[85],"First,":[86],"neurons":[88],"parents":[91,106,158],"aligned":[94],"by":[95,138],"computing":[96],"how":[97],"well":[98],"they":[99],"correlate,":[100],"only":[102],"then":[103],"recombined.":[107],"We":[108,125,150],"compare":[109],"two":[110],"measuring":[113],"relationships":[114],"neurons:":[116],"Pairwise":[117],"Correlation":[118,122],"(PwC)":[119],"Canonical":[121],"Analysis":[123],"(CCA).":[124],"test":[126],"our":[127],"operators":[130],"(SC-PwC":[131],"SC-CCA)":[133],"on":[134,142],"MNIST":[135],"CIFAR-10":[137],"performing":[139],"arithmetic":[140],"feed-forward":[146],"network":[148],"pairs.":[149],"show":[151],"it":[153],"effectively":[154],"transmits":[155],"significantly":[162],"improves":[163],"upon":[164],"crossover.":[166],"Our":[167],"method":[168],"computationally":[170],"fast,":[171],"can":[172],"serve":[173],"way":[176],"explore":[178],"fitness":[180],"landscape":[181],"more":[182],"efficiently":[183],"makes":[185],"potentially":[189],"promising":[190],"operator":[191],"future":[193],"neuroevolution":[194],"research":[195],"applications.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2020-03-27T00:00:00"}
