{"id":"https://openalex.org/W3080676074","doi":"https://doi.org/10.1080/09540091.2020.1807465","title":"ARP: asexual reproduction programming","display_name":"ARP: asexual reproduction programming","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3080676074","doi":"https://doi.org/10.1080/09540091.2020.1807465","mag":"3080676074"},"language":"en","primary_location":{"id":"doi:10.1080/09540091.2020.1807465","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2020.1807465","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"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/A5102968349","display_name":"Alireza Khanteymoori","orcid":"https://orcid.org/0000-0002-2659-8990"},"institutions":[{"id":"https://openalex.org/I161046081","display_name":"University of Freiburg","ror":"https://ror.org/0245cg223","country_code":"DE","type":"education","lineage":["https://openalex.org/I161046081"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alireza Khanteymoori","raw_affiliation_strings":["Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany","institution_ids":["https://openalex.org/I161046081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048935930","display_name":"Fatemeh Alamdar","orcid":"https://orcid.org/0000-0003-2326-2276"},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Fatemeh Alamdar","raw_affiliation_strings":["Department of Computer Engineering, University of Zanjan, Zanjan, Iran"],"raw_orcid":"https://orcid.org/0000-0003-2326-2276","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Zanjan, Zanjan, Iran","institution_ids":["https://openalex.org/I99861883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033704132","display_name":"Farzaneh Ghorbani","orcid":"https://orcid.org/0009-0003-1438-5247"},"institutions":[{"id":"https://openalex.org/I99861883","display_name":"University of Zanjan","ror":"https://ror.org/05e34ej29","country_code":"IR","type":"education","lineage":["https://openalex.org/I99861883"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Farzaneh Ghorbani","raw_affiliation_strings":["Department of Computer Engineering, University of Zanjan, Zanjan, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Zanjan, Zanjan, Iran","institution_ids":["https://openalex.org/I99861883"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048935930"],"corresponding_institution_ids":["https://openalex.org/I99861883"],"apc_list":{"value":1270,"currency":"USD","value_usd":1270},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.09766417,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"33","issue":"2","first_page":"256","last_page":"277"},"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":0.9997000098228455,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9930999875068665,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/asexual-reproduction","display_name":"Asexual reproduction","score":0.7171329855918884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096899747848511},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.696786642074585},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5267007946968079},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5062052607536316},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.49418333172798157},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.45260941982269287},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43816155195236206},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.374378502368927},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3461841940879822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2896076738834381},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18475931882858276},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14271041750907898},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08089131116867065}],"concepts":[{"id":"https://openalex.org/C170009740","wikidata":"https://www.wikidata.org/wiki/Q173432","display_name":"Asexual reproduction","level":2,"score":0.7171329855918884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096899747848511},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.696786642074585},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5267007946968079},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5062052607536316},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.49418333172798157},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.45260941982269287},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43816155195236206},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.374378502368927},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3461841940879822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2896076738834381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18475931882858276},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14271041750907898},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08089131116867065},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/09540091.2020.1807465","is_oa":false,"landing_page_url":"https://doi.org/10.1080/09540091.2020.1807465","pdf_url":null,"source":{"id":"https://openalex.org/S4210188800","display_name":"Connection Science","issn_l":"0954-0091","issn":["0954-0091","1360-0494"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Connection Science","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ccfbecee4d7648fcbb2c6ccc57be481c","is_oa":false,"landing_page_url":"https://doaj.org/article/ccfbecee4d7648fcbb2c6ccc57be481c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Connection Science, Vol 33, Iss 2, Pp 256-277 (2021)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W51003050","https://openalex.org/W119114865","https://openalex.org/W1497256448","https://openalex.org/W1514875444","https://openalex.org/W1551186452","https://openalex.org/W1567571923","https://openalex.org/W1576818901","https://openalex.org/W1979356488","https://openalex.org/W2002454361","https://openalex.org/W2014358803","https://openalex.org/W2051970321","https://openalex.org/W2059396387","https://openalex.org/W2061011797","https://openalex.org/W2069721696","https://openalex.org/W2078894219","https://openalex.org/W2081089809","https://openalex.org/W2089693515","https://openalex.org/W2118570024","https://openalex.org/W2129202132","https://openalex.org/W2140045001","https://openalex.org/W2152195021","https://openalex.org/W2158934641","https://openalex.org/W2164305954","https://openalex.org/W2606006859","https://openalex.org/W2606629906","https://openalex.org/W2805643637","https://openalex.org/W2912339243","https://openalex.org/W3149025087","https://openalex.org/W4299796063","https://openalex.org/W4302599714"],"related_works":["https://openalex.org/W2082776239","https://openalex.org/W2142324575","https://openalex.org/W2123029667","https://openalex.org/W2051028534","https://openalex.org/W2164305954","https://openalex.org/W1501730763","https://openalex.org/W2046401452","https://openalex.org/W1772786136","https://openalex.org/W1963986408","https://openalex.org/W1593354505"],"abstract_inverted_index":{"Recently":[0],"meta-heuristic":[1,22,96],"techniques":[2,17],"have":[3],"attracted":[4],"more":[5],"attention.":[6],"Algorithms":[7],"based":[8],"on":[9,38,199],"Bio-inspired":[10],"problems":[11],"are":[12],"among":[13],"the":[14,29,39,85,102,147,154,181,185,190,193,206],"most":[15,30],"popular":[16],"of":[18,28,51,95,140,151,158,192],"this":[19,112],"field.":[20],"In":[21,111],"algorithms,":[23],"Genetic":[24,46],"algorithm":[25,130],"is":[26,48,68,74,92,105,120,131,170],"one":[27],"useful.":[31],"GA":[32,52],"uses":[33],"chromosome":[34,40],"representation":[35,55],"and":[36,43,67,77,143,153,156,177,216],"operates":[37],"with":[41,53,125],"crossover":[42],"mutation":[44],"operators.":[45],"programming":[47,64],"a":[49,69,79,108,116],"form":[50],"tree":[54],"for":[56,82],"its":[57,168],"chromosomes.":[58],"GP":[59,73,144,213],"was":[60],"developed":[61],"to":[62,101,127,164,184],"evolve":[63],"in":[65,98,214],"computers":[66],"population-based":[70],"algorithm.":[71],"But":[72],"very":[75],"slow":[76],"needs":[78],"long":[80],"time":[81,150],"converging.":[83],"On":[84],"other":[86],"hand,":[87],"asexual":[88,123],"reproduction":[89,124],"optimisation":[90],"(ARO)":[91],"another":[93],"variant":[94],"algorithms":[97,196],"which":[99,119],"convergence":[100,149,163,183,217],"global":[103,165,186],"optima":[104],"done":[106],"at":[107],"fast":[109,148,162],"time.":[110,218],"paper,":[113],"we":[114,179],"introduced":[115],"new":[117],"method,":[118],"inducted":[121],"by":[122],"combination":[126],"GP.":[128,159,173],"This":[129],"named":[132],"Asexual":[133],"Reproduction":[134],"Programming":[135],"(ARP).":[136],"ARP":[137,160,182,211],"has":[138,161],"advantages":[139],"both":[141],"ARO":[142,152],"together":[145],"i.e.":[146],"power":[155],"flexibility":[157],"optimum":[166],"while":[167],"error":[169],"less":[171],"than":[172],"By":[174],"mathematically":[175],"analysing":[176],"proving,":[178],"show":[180],"optimum.":[187],"To":[188],"assay":[189],"efficiency":[191],"ARP,":[194],"two":[195],"were":[197],"compared":[198],"some":[200],"real-valued":[201],"symbolic":[202],"regression":[203],"problems.":[204],"Perusing":[205],"experimental":[207],"results":[208],"demonstrate":[209],"that":[210],"outperforms":[212],"performance":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}