{"id":"https://openalex.org/W7166741961","doi":"https://doi.org/10.7148/2026-0554","title":"Quantitative analysis of the crossover operation in genetic algorithms","display_name":"Quantitative analysis of the crossover operation in genetic algorithms","publication_year":2026,"publication_date":"2026-06-23","ids":{"openalex":"https://openalex.org/W7166741961","doi":"https://doi.org/10.7148/2026-0554"},"language":null,"primary_location":{"id":"doi:10.7148/2026-0554","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2026-0554","pdf_url":"https://doi.org/10.7148/2026-0554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.7148/2026-0554","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071806404","display_name":"Roman Knobloch","orcid":"https://orcid.org/0000-0003-2427-3479"},"institutions":[{"id":"https://openalex.org/I147009085","display_name":"Technical University of Liberec","ror":"https://ror.org/02jtk7k02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I147009085"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Roman Knobloch","raw_affiliation_strings":["Technical University of Liberec , Department of Mathematics ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Liberec , Department of Mathematics ,","institution_ids":["https://openalex.org/I147009085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055100843","display_name":"Jaroslav Ml\u00fdnek","orcid":"https://orcid.org/0000-0002-3386-6738"},"institutions":[{"id":"https://openalex.org/I147009085","display_name":"Technical University of Liberec","ror":"https://ror.org/02jtk7k02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I147009085"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jaroslav Mlynek","raw_affiliation_strings":["Technical University of Liberec , Department of Mathematics ,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Liberec , Department of Mathematics ,","institution_ids":["https://openalex.org/I147009085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I147009085"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"554","last_page":"560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.4749999940395355,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.4749999940395355,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.3336000144481659,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.11309999972581863,"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/crossover","display_name":"Crossover","score":0.9509000182151794},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6414999961853027},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5194000005722046},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4645000100135803},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4535999894142151},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.384799987077713}],"concepts":[{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.9509000182151794},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6414999961853027},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5194000005722046},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47839999198913574},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4645000100135803},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4535999894142151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4268999993801117},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34549999237060547},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C501734568","wikidata":"https://www.wikidata.org/wiki/Q42918","display_name":"Mutation","level":3,"score":0.31690001487731934},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C51255272","wikidata":"https://www.wikidata.org/wiki/Q550479","display_name":"Quantitative genetics","level":4,"score":0.26080000400543213},{"id":"https://openalex.org/C95986675","wikidata":"https://www.wikidata.org/wiki/Q185168","display_name":"Quantitative analysis (chemistry)","level":2,"score":0.2531000077724457},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.7148/2026-0554","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2026-0554","pdf_url":"https://doi.org/10.7148/2026-0554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.7148/2026-0554","is_oa":true,"landing_page_url":"https://doi.org/10.7148/2026-0554","pdf_url":"https://doi.org/10.7148/2026-0554","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ECMS 2026 Proceedings edited by Filippo Sanfilippo, Florenc Demrozi, Fabio Sgarbossa, Mohammad Poursina","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166741961.pdf","grobid_xml":"https://content.openalex.org/works/W7166741961.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Binary":[0],"genetic":[1,79,92],"algorithms":[2],"are":[3,112,141],"considered":[4],"robust":[5],"and":[6,42,54,61,87,100],"stable":[7],"evolutionary":[8],"computation":[9],"techniques.":[10],"They":[11],"typically":[12,113],"provide":[13,154],"an":[14,25],"acceptable":[15],"solution":[16,33],"even":[17],"in":[18,64,155],"highly":[19],"complex":[20],"circumstances.":[21],"This":[22],"fact":[23,44],"is":[24,34,121,136],"important":[26],"positive":[27],"feature,":[28],"particularly":[29],"when":[30],"no":[31],"feasible":[32],"available.":[35],"On":[36],"the":[37,43,74,78,85,91,117,125,128,132,164,167,170,173],"other":[38],"hand,":[39],"this":[40,68,156],"robustness":[41],"that":[45,124,127,146,162],"living":[46],"nature":[47],"utilizes":[48],"analogous":[49],"mechanisms":[50],"for":[51],"its":[52],"development":[53],"propagation":[55],"sometimes":[56],"lead":[57],"to":[58],"unrealistic":[59],"expectations":[60],"exaggerated":[62],"faith":[63],"their":[65],"capabilities.":[66],"In":[67],"article,":[69],"we":[70],"focus":[71],"primarily":[72],"on":[73],"crossover":[75,82,129,174],"operation":[76,130],"of":[77,90,98,107,166,169],"algorithm.":[80],"The":[81,109],"mechanism":[83],"constitutes":[84],"principal":[86],"characteristic":[88],"part":[89],"algorithms.":[93],"It":[94,120],"takes":[95],"a":[96,102],"pair":[97,106],"genotypes":[99,111,134,171],"creates":[101],"new,":[103],"potentially":[104],"better":[105],"genotypes.":[108,119],"constructed":[110],"essentially":[114],"different":[115,159],"from":[116],"source":[118,133],"generally":[122],"accepted":[123],"probability":[126,165],"leaves":[131],"unchanged":[135],"very":[137],"low.":[138],"But":[139],"there":[140],"hardly":[142],"any":[143],"published":[144],"sources":[145],"give":[147,163],"quantitative":[148,160],"estimates":[149],"regarding":[150],"such":[151],"probabilities.":[152],"We":[153],"paper":[157],"two":[158],"models":[161],"survival":[168],"during":[172],"operation.":[175]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-01T00:00:00"}