{"id":"https://openalex.org/W4400412558","doi":"https://doi.org/10.1145/3638529.3654020","title":"Deep Neural Crossover","display_name":"Deep Neural Crossover","publication_year":2024,"publication_date":"2024-07-08","ids":{"openalex":"https://openalex.org/W4400412558","doi":"https://doi.org/10.1145/3638529.3654020"},"language":"en","primary_location":{"id":"doi:10.1145/3638529.3654020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654020","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5044096495","display_name":"Eliad Shem Tov","orcid":"https://orcid.org/0000-0002-1313-0504"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Eliad Shem-Tov","raw_affiliation_strings":["Ben-Gurion University, Beer Sheva, Israel"],"raw_orcid":"https://orcid.org/0000-0002-1313-0504","affiliations":[{"raw_affiliation_string":"Ben-Gurion University, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024052456","display_name":"Achiya Elyasaf","orcid":"https://orcid.org/0000-0002-4009-5353"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Achiya Elyasaf","raw_affiliation_strings":["Ben-Gurion University, Beer Sheva, Israel"],"raw_orcid":"https://orcid.org/0000-0002-4009-5353","affiliations":[{"raw_affiliation_string":"Ben-Gurion University, Beer Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1045","last_page":"1053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/crossover","display_name":"Crossover","score":0.7481483817100525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521367192268372},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.53041011095047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41190165281295776}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7481483817100525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521367192268372},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.53041011095047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41190165281295776}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638529.3654020","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638529.3654020","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W17496436","https://openalex.org/W1496687288","https://openalex.org/W1507582389","https://openalex.org/W1896622017","https://openalex.org/W1966432156","https://openalex.org/W1969193848","https://openalex.org/W2080156253","https://openalex.org/W2118943694","https://openalex.org/W2888986132","https://openalex.org/W2940385553","https://openalex.org/W3110647809","https://openalex.org/W3207066661","https://openalex.org/W4385481402"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4299389082","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2102514425","https://openalex.org/W2962747841"],"abstract_inverted_index":{"We":[0,175],"present":[1,146],"a":[2,24,53,71,77,86,101,112,147,157,161],"novel":[3],"multi-parent":[4],"crossover":[5,19],"operator":[6],"in":[7,119],"genetic":[8],"algorithms":[9],"(GAs)":[10],"called":[11],"\"Deep":[12],"Neural":[13],"Crossover\"":[14],"(DNC).":[15],"Unlike":[16],"conventional":[17],"GA":[18],"operators":[20,180],"that":[21,104],"rely":[22],"on":[23,156],"random":[25],"selection":[26],"of":[27,34,68,80,171],"parental":[28,94],"genes,":[29],"DNC":[30,177],"leverages":[31],"the":[32,45,65,93,115,120,151,172,182],"capabilities":[33],"deep":[35],"reinforcement":[36],"learning":[37],"(DRL)":[38],"and":[39,100,130,135,164],"an":[40,106],"encoder-decoder":[41],"architecture":[42,84,124,152],"to":[43,51,63,91,110,127,138,167,178],"select":[44],"genes.":[46,58],"Specifically,":[47],"we":[48,145],"use":[49],"DRL":[50],"learn":[52],"policy":[54,60],"for":[55,73],"selecting":[56,74],"promising":[57],"The":[59,122],"is":[61,125,153],"stochastic,":[62],"maintain":[64],"stochastic":[66],"nature":[67],"GAs,":[69],"representing":[70],"distribution":[72,113],"genes":[75,134],"with":[76],"higher":[78],"probability":[79],"improving":[81],"fitness.":[82],"Our":[83],"features":[85],"recurrent":[87],"neural":[88],"network":[89],"(RNN)":[90],"encode":[92],"genomes":[95],"into":[96],"latent":[97],"memory":[98],"states,":[99],"decoder":[102],"RNN":[103],"utilizes":[105],"attention-based":[107],"pointing":[108],"mechanism":[109],"generate":[111],"over":[114,184],"next":[116],"selected":[117],"gene":[118,139],"offspring.":[121],"operator's":[123],"designed":[126],"find":[128],"linear":[129],"nonlinear":[131],"correlations":[132],"between":[133],"translate":[136],"them":[137],"selection.":[140],"To":[141],"reduce":[142],"computational":[143],"cost,":[144],"transfer-learning":[148],"approach,":[149],"wherein":[150],"initially":[154],"trained":[155],"single":[158],"problem":[159],"within":[160],"specific":[162],"domain":[163],"then":[165],"applied":[166],"solving":[168],"other":[169],"problems":[170],"same":[173],"domain.":[174],"compare":[176],"known":[179],"from":[181],"literature":[183],"two":[185],"benchmark":[186],"domains,":[187],"outperforming":[188],"all":[189],"baselines.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}