{"id":"https://openalex.org/W1964253167","doi":"https://doi.org/10.1145/1388969.1389018","title":"Learning classifier systems for optimisation problems","display_name":"Learning classifier systems for optimisation problems","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W1964253167","doi":"https://doi.org/10.1145/1388969.1389018","mag":"1964253167"},"language":"en","primary_location":{"id":"doi:10.1145/1388969.1389018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th 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/A5084144515","display_name":"Maximiliano Tabacman","orcid":null},"institutions":[{"id":"https://openalex.org/I24354313","display_name":"University of Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR"],"is_corresponding":true,"raw_author_name":"Maximiliano Tabacman","raw_affiliation_strings":["Universidad de Buenos Aires, Buenos Aires, Argentina"],"affiliations":[{"raw_affiliation_string":"Universidad de Buenos Aires, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043620976","display_name":"Natalio Krasnogor","orcid":"https://orcid.org/0000-0002-2651-4320"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Natalio Krasnogor","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kngdm"],"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kngdm","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012372361","display_name":"Jaume Bacardit","orcid":"https://orcid.org/0000-0002-2692-7205"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jaume Bacardit","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kngdm"],"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kngdm","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003850329","display_name":"Ir\u00e8ne Loiseau","orcid":null},"institutions":[{"id":"https://openalex.org/I24354313","display_name":"University of Buenos Aires","ror":"https://ror.org/0081fs513","country_code":"AR","type":"education","lineage":["https://openalex.org/I24354313"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Irene Loiseau","raw_affiliation_strings":["Universidad de Buenos Aires, Buenos Aires, Argentina"],"affiliations":[{"raw_affiliation_string":"Universidad de Buenos Aires, Buenos Aires, Argentina","institution_ids":["https://openalex.org/I24354313"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084144515"],"corresponding_institution_ids":["https://openalex.org/I24354313"],"apc_list":null,"apc_paid":null,"fwci":0.572,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.76672395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2039","last_page":"2046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9970999956130981,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9355000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/travelling-salesman-problem","display_name":"Travelling salesman problem","score":0.8149795532226562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7110536694526672},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6875103712081909},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6669409275054932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5861096978187561},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5429134368896484},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4955493211746216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44416871666908264},{"id":"https://openalex.org/keywords/combinatorial-optimization","display_name":"Combinatorial optimization","score":0.4127649962902069},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32743263244628906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20989590883255005},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18303126096725464}],"concepts":[{"id":"https://openalex.org/C175859090","wikidata":"https://www.wikidata.org/wiki/Q322212","display_name":"Travelling salesman problem","level":2,"score":0.8149795532226562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7110536694526672},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6875103712081909},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6669409275054932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5861096978187561},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5429134368896484},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4955493211746216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44416871666908264},{"id":"https://openalex.org/C52692508","wikidata":"https://www.wikidata.org/wiki/Q1333872","display_name":"Combinatorial optimization","level":2,"score":0.4127649962902069},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32743263244628906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20989590883255005},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18303126096725464},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1388969.1389018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1388969.1389018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference companion on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W33980575","https://openalex.org/W116734314","https://openalex.org/W139366414","https://openalex.org/W190638014","https://openalex.org/W1503690674","https://openalex.org/W1503705371","https://openalex.org/W1506404904","https://openalex.org/W1519083892","https://openalex.org/W1542723682","https://openalex.org/W1588026767","https://openalex.org/W1592894394","https://openalex.org/W1820078070","https://openalex.org/W1989280105","https://openalex.org/W1999128321","https://openalex.org/W2000690667","https://openalex.org/W2019957060","https://openalex.org/W2044154133","https://openalex.org/W2046527336","https://openalex.org/W2055569927","https://openalex.org/W2072638946","https://openalex.org/W2072849752","https://openalex.org/W2081853788","https://openalex.org/W2086917808","https://openalex.org/W2121836213","https://openalex.org/W2127142405","https://openalex.org/W2134876494","https://openalex.org/W2148004989","https://openalex.org/W2151554678","https://openalex.org/W2164989062","https://openalex.org/W2170186790","https://openalex.org/W2895774836","https://openalex.org/W3040917481","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4297427155","https://openalex.org/W2975368677","https://openalex.org/W3025823153","https://openalex.org/W3136451934","https://openalex.org/W3200006077","https://openalex.org/W2170228269","https://openalex.org/W2783065147","https://openalex.org/W4312723892","https://openalex.org/W2530777107","https://openalex.org/W2572756133"],"abstract_inverted_index":{"This":[0,56],"paper":[1],"presents":[2],"a":[3,27,101,104],"set":[4,28,102],"of":[5,10,17,29,49,52,59,91,99,106],"experiments":[6],"on":[7],"the":[8,15,45,50,107,110,118,129,136],"use":[9,79],"Learning":[11],"Classifier":[12],"Systems":[13],"for":[14,36,64,80],"purpose":[16],"solving":[18],"combinatorial":[19],"optimisation":[20],"problems.":[21],"We":[22],"demonstrate":[23],"our":[24],"approach":[25],"with":[26],"Fractal":[30],"Travelling":[31],"Salesman":[32],"Problem":[33],"(TSP)":[34],"instances":[35,61,100],"which":[37,97],"it":[38],"is":[39,89],"possible":[40],"to":[41,78,94,96,113,121,131,135],"know":[42],"by":[43],"construction":[44],"optimal":[46,137],"tour":[47],"regardless":[48],"number":[51],"cities":[53,108],"in":[54,73,109],"them.":[55],"special":[57],"type":[58],"TSP":[60],"are":[62,70],"ideal":[63],"testing":[65],"new":[66],"methods":[67],"as":[68],"they":[69],"well":[71],"characterised":[72],"their":[74],"solvability":[75],"and":[76,114],"easy":[77],"scalability":[81],"studies.":[82],"Our":[83],"results":[84],"show":[85],"that":[86],"an":[87],"LCS":[88,130],"capable":[90],"learning":[92],"rules":[93],"recognise":[95,132],"family":[98],"containing":[103],"sample":[105],"problem":[111],"belongs":[112],"hence":[115],"automatically":[116],"select":[117],"best":[119],"heuristic":[120],"solve":[122],"it.":[123],"Moreover,":[124],"we":[125],"have":[126],"also":[127],"trained":[128],"links":[133],"belonging":[134],"tour.":[138]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
