{"id":"https://openalex.org/W1969232932","doi":"https://doi.org/10.1145/2576768.2598288","title":"Behavioral programming","display_name":"Behavioral programming","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W1969232932","doi":"https://doi.org/10.1145/2576768.2598288","mag":"1969232932"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"article","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/A5034406933","display_name":"Krzysztof Krawiec","orcid":"https://orcid.org/0000-0001-5439-3231"},"institutions":[{"id":"https://openalex.org/I46597724","display_name":"Pozna\u0144 University of Technology","ror":"https://ror.org/00p7p3302","country_code":"PL","type":"education","lineage":["https://openalex.org/I46597724"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Krawiec","raw_affiliation_strings":["Poznan University of Technology, Poznan, Poland"],"affiliations":[{"raw_affiliation_string":"Poznan University of Technology, Poznan, Poland","institution_ids":["https://openalex.org/I46597724"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000646181","display_name":"Una-May O\u2019Reilly","orcid":"https://orcid.org/0000-0001-6923-8445"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Una-May O'Reilly","raw_affiliation_strings":["Massachusetts Institute of Technology, Cambridge, MA, USA","Massachusetts Institute of Technology; ,; Cambridge MA USA"],"affiliations":[{"raw_affiliation_string":"Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Massachusetts Institute of Technology; ,; Cambridge MA USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5034406933"],"corresponding_institution_ids":["https://openalex.org/I46597724"],"apc_list":null,"apc_paid":null,"fwci":12.6794,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.98691188,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"935","last_page":"942"},"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":0.9951000213623047,"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":0.9850000143051147,"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/genetic-programming","display_name":"Genetic programming","score":0.8414244651794434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8063781261444092},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.7544294595718384},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.6810905933380127},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6556028127670288},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6197630167007446},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5520079135894775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5364364385604858},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5098830461502075},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5042089223861694},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4748159646987915},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.3895093500614166},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32103705406188965},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1937825083732605}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.8414244651794434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8063781261444092},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.7544294595718384},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.6810905933380127},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6556028127670288},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6197630167007446},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5520079135894775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5364364385604858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5098830461502075},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5042089223861694},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4748159646987915},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.3895093500614166},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32103705406188965},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1937825083732605},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598288","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W67189808","https://openalex.org/W156916704","https://openalex.org/W1516867764","https://openalex.org/W1581584868","https://openalex.org/W1585711251","https://openalex.org/W1795093649","https://openalex.org/W1990012648","https://openalex.org/W2084288340","https://openalex.org/W2117362191","https://openalex.org/W2125923653","https://openalex.org/W2126105956","https://openalex.org/W2133990480","https://openalex.org/W2136505661","https://openalex.org/W2136852062","https://openalex.org/W2138321920","https://openalex.org/W2147528194","https://openalex.org/W2151083897","https://openalex.org/W2164424353","https://openalex.org/W2325343629","https://openalex.org/W2334543174","https://openalex.org/W3004042307","https://openalex.org/W4299359176","https://openalex.org/W6602708059","https://openalex.org/W6680508676","https://openalex.org/W6681992663","https://openalex.org/W6723941685","https://openalex.org/W6992383431"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W1925901016","https://openalex.org/W4294725171","https://openalex.org/W1485885287","https://openalex.org/W2553277926","https://openalex.org/W2139799987","https://openalex.org/W4384024076","https://openalex.org/W2091246427","https://openalex.org/W1578871554"],"abstract_inverted_index":{"In":[0,23,54,118],"evolutionary":[1,77],"computation,":[2],"the":[3,50,65,69,75,127],"fitness":[4,35],"of":[5,68,91,99,125,133],"a":[6,123],"candidate":[7,16,116],"solution":[8],"conveys":[9],"sparse":[10],"feedback.":[11],"Yet":[12],"in":[13,105],"many":[14],"cases,":[15],"solutions":[17,100,138],"can":[18,28],"potentially":[19,96],"yield":[20],"more":[21,131],"information.":[22],"genetic":[24],"programming":[25],"(GP),":[26],"one":[27],"easily":[29],"examine":[30],"program":[31],"behavior":[32,67],"on":[33,122],"particular":[34],"cases":[36],"or":[37],"at":[38],"intermediate":[39,66,84],"execution":[40],"states.":[41],"However,":[42],"how":[43],"to":[44,47,62],"exploit":[45],"it":[46],"effectively":[48],"guide":[49],"search":[51,78],"remains":[52],"unclear.":[53],"this":[55,83],"study":[56],"we":[57,103],"apply":[58],"machine":[59,87],"learning":[60,88],"algorithms":[61],"features":[63],"describing":[64],"executed":[70],"program.":[71],"We":[72],"then":[73],"drive":[74],"standard":[76],"with":[79],"additional":[80],"objectives":[81],"reflecting":[82],"behavior.":[85],"The":[86],"functions":[89],"independent":[90],"task-specific":[92],"knowledge":[93],"and":[94,108],"discovers":[95],"useful":[97],"components":[98],"(subprograms),":[101],"which":[102],"preserve":[104],"an":[106,119],"archive":[107],"use":[109],"as":[110],"building":[111],"blocks":[112],"when":[113],"composing":[114],"new":[115],"solutions.":[117],"experimental":[120],"assessment":[121],"suite":[124],"benchmarks,":[126],"proposed":[128],"approach":[129],"proves":[130],"capable":[132],"finding":[134],"optimal":[135],"and/or":[136],"well-performing":[137],"than":[139],"control":[140],"methods.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":10},{"year":2015,"cited_by_count":13}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
