{"id":"https://openalex.org/W2150808876","doi":"https://doi.org/10.1145/1068009.1068115","title":"Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems","display_name":"Hyper-heuristics and classifier systems for solving 2D-regular cutting stock problems","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2150808876","doi":"https://doi.org/10.1145/1068009.1068115","mag":"2150808876"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th 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/A5049386377","display_name":"Hugo Terashima\u2010Mar\u00edn","orcid":"https://orcid.org/0000-0002-5320-0773"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"H. Terashima-Mar\u00edn","raw_affiliation_strings":["ITESM-Center for Intelligent Systems, Monterrey, Mexico"],"affiliations":[{"raw_affiliation_string":"ITESM-Center for Intelligent Systems, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091841982","display_name":"E. J. Flores-\u00c1lvarez","orcid":null},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"E. J. Flores-\u00c1lvarez","raw_affiliation_strings":["ITESM-Center for Intelligent Systems, Monterrey, Mexico"],"affiliations":[{"raw_affiliation_string":"ITESM-Center for Intelligent Systems, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007882217","display_name":"Peter Ross","orcid":"https://orcid.org/0000-0002-5051-5382"},"institutions":[{"id":"https://openalex.org/I251738","display_name":"Edinburgh Napier University","ror":"https://ror.org/03zjvnn91","country_code":"GB","type":"education","lineage":["https://openalex.org/I251738"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"P. Ross","raw_affiliation_strings":["Napier University, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Napier University, Edinburgh, UK","institution_ids":["https://openalex.org/I251738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049386377"],"corresponding_institution_ids":["https://openalex.org/I98461037"],"apc_list":null,"apc_paid":null,"fwci":2.6325,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.91037164,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"637","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9987000226974487,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9944999814033508,"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/heuristics","display_name":"Heuristics","score":0.9034686088562012},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6767337918281555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6759052276611328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6026787757873535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5884166359901428},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5436086654663086},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.4990823268890381},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.42116305232048035},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36245471239089966},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2050795555114746},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.10793229937553406}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.9034686088562012},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6767337918281555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6759052276611328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026787757873535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5884166359901428},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5436086654663086},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.4990823268890381},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.42116305232048035},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36245471239089966},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2050795555114746},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.10793229937553406},{"id":"https://openalex.org/C188888258","wikidata":"https://www.wikidata.org/wiki/Q7353390","display_name":"Robot learning","level":4,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1068009.1068115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1495314826","https://openalex.org/W1497256448","https://openalex.org/W1512383952","https://openalex.org/W1514875444","https://openalex.org/W1541093892","https://openalex.org/W1569757501","https://openalex.org/W1593691361","https://openalex.org/W1639032689","https://openalex.org/W1668207500","https://openalex.org/W1824538363","https://openalex.org/W1970339583","https://openalex.org/W1979415050","https://openalex.org/W1989101984","https://openalex.org/W1998647932","https://openalex.org/W2008088085","https://openalex.org/W2011039300","https://openalex.org/W2032938251","https://openalex.org/W2074821977","https://openalex.org/W2095301036","https://openalex.org/W2097571405","https://openalex.org/W2100604298","https://openalex.org/W2152150600","https://openalex.org/W2166843422","https://openalex.org/W2171246116","https://openalex.org/W2171979979","https://openalex.org/W2235047952","https://openalex.org/W2330425234","https://openalex.org/W3023540311","https://openalex.org/W3149025087","https://openalex.org/W4210424113","https://openalex.org/W4238753141","https://openalex.org/W4312675197","https://openalex.org/W6629610141","https://openalex.org/W6684276203","https://openalex.org/W6993059093"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W3125143773","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2041180560","https://openalex.org/W2586529194","https://openalex.org/W1628567638","https://openalex.org/W2109775141"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,34,57,64,74,95],"method":[4,101],"for":[5,14,86,106],"combining":[6],"concepts":[7],"of":[8,29,37,89,97,108,115,128],"Hyper-heuristics":[9,23],"and":[10,83],"Learning":[11,59],"Classifier":[12,60],"Systems":[13],"solving":[15,68],"2D":[16],"Cutting":[17],"Stock":[18],"Problems.":[19],"The":[20,71,111],"idea":[21],"behind":[22],"is":[24,54,113],"to":[25,32],"discover":[26],"some":[27],"combination":[28,43],"straightforward":[30],"heuristics":[31],"solve":[33],"wide":[35],"range":[36],"problems.":[38,70],"To":[39],"be":[40],"worthwhile,":[41],"such":[42],"should":[44],"outperform":[45],"the":[46,52,79,90,100,109,123,129],"single":[47],"heuristics.":[48],"In":[49],"this":[50],"paper,":[51],"Hyper-heuristic":[53],"formed":[55],"using":[56],"XCS-type":[58],"System":[61],"which":[62,77],"learns":[63],"solution":[65],"procedure":[66],"when":[67],"individual":[69],"XCS":[72],"evolves":[73],"behavior":[75],"model":[76],"determines":[78],"possible":[80],"actions":[81],"(selection":[82],"placement":[84],"heuristics)":[85],"given":[87],"states":[88],"problem.":[91],"When":[92],"tested":[93],"with":[94],"collection":[96],"different":[98],"problems,":[99],"finds":[102],"very":[103],"competitive":[104],"results":[105],"most":[107],"cases.":[110],"testebed":[112],"composed":[114],"problems":[116],"used":[117],"in":[118,122],"other":[119],"similar":[120],"studies":[121],"literature.":[124],"Some":[125],"additional":[126],"instances":[127],"testbed":[130],"were":[131],"randomly":[132],"generated.":[133]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
