{"id":"https://openalex.org/W2001294744","doi":"https://doi.org/10.1145/2330784.2330900","title":"Combining programs to counter code disruption","display_name":"Combining programs to counter code disruption","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W2001294744","doi":"https://doi.org/10.1145/2330784.2330900","mag":"2001294744"},"language":"en","primary_location":{"id":"doi:10.1145/2330784.2330900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion 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/A5003818390","display_name":"Cyril Fonlupt","orcid":"https://orcid.org/0000-0003-4729-4715"},"institutions":[{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Cyril Fonlupt","raw_affiliation_strings":["LISIC, ULCO, Univ Lille Nord de France, Calais, France"],"affiliations":[{"raw_affiliation_string":"LISIC, ULCO, Univ Lille Nord de France, Calais, France","institution_ids":["https://openalex.org/I2279609970"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045208034","display_name":"Denis Robilliard","orcid":"https://orcid.org/0000-0003-1836-6679"},"institutions":[{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Denis Robilliard","raw_affiliation_strings":["LISIC, ULCO, Univ Lille Nord de France, Calais, France"],"affiliations":[{"raw_affiliation_string":"LISIC, ULCO, Univ Lille Nord de France, Calais, France","institution_ids":["https://openalex.org/I2279609970"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003818390"],"corresponding_institution_ids":["https://openalex.org/I2279609970"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08426042,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"643","last_page":"644"},"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":0.9980999827384949,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9932000041007996,"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/genetic-programming","display_name":"Genetic programming","score":0.7623476982116699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7535562515258789},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6468008160591125},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5798065662384033},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4488150477409363},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29147064685821533},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.275738388299942}],"concepts":[{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7623476982116699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7535562515258789},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6468008160591125},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5798065662384033},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4488150477409363},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29147064685821533},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.275738388299942},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2330784.2330900","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330784.2330900","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.709.814","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.709.814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www-lisic.univ-littoral.fr/publis/1347612015.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W194697568","https://openalex.org/W1506853907","https://openalex.org/W1585003986","https://openalex.org/W1593492645","https://openalex.org/W1881335576","https://openalex.org/W2105802878","https://openalex.org/W2167609699","https://openalex.org/W2347151396","https://openalex.org/W2911740249","https://openalex.org/W6630315736"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0,35],"usual":[1],"Genetic":[2],"Programming":[3],"(GP)":[4],"schemes,":[5],"only":[6],"the":[7,15,69,73,80],"best":[8,70],"programs":[9],"survive":[10],"from":[11,44],"one":[12],"generation":[13],"to":[14,67,92],"next.":[16],"This":[17],"implies":[18],"that":[19,22,99],"useful":[20],"code,":[21],"might":[23],"be":[24,93],"hidden":[25],"inside":[26],"introns":[27],"in":[28],"low":[29,90],"fitness":[30,81],"individuals,":[31],"is":[32,65],"often":[33],"lost.":[34],"this":[36],"paper,":[37],"we":[38],"propose":[39],"a":[40,89],"new":[41],"representation":[42],"borrowing":[43],"Linear":[45],"GP":[46],"(LGP),":[47],"called":[48],"PhenoGP,":[49],"where":[50],"solutions":[51],"are":[52,95],"coded":[53],"as":[54],"ordered":[55],"lists":[56],"of":[57,63,72],"instruction":[58,74,85],"blocks.":[59],"The":[60],"main":[61],"goal":[62],"evolution":[64],"then":[66],"find":[68],"ordering":[71],"blocks,":[75,86],"with":[76],"possible":[77],"repetitions.":[78],"When":[79],"remains":[82],"stalled,":[83],"ignored":[84],"which":[87],"have":[88],"probability":[91],"useful,":[94],"replaced.":[96],"Experiments":[97],"show":[98],"PhenoGP":[100],"achieve":[101],"competitive":[102],"results":[103],"against":[104],"standard":[105],"LGP.":[106]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}