{"id":"https://openalex.org/W1991718750","doi":"https://doi.org/10.1145/1276958.1277377","title":"Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem","display_name":"Comparing two models to generate hyper-heuristics for the 2d-regular bin-packing problem","publication_year":2007,"publication_date":"2007-07-07","ids":{"openalex":"https://openalex.org/W1991718750","doi":"https://doi.org/10.1145/1276958.1277377","mag":"1991718750"},"language":"en","primary_location":{"id":"doi:10.1145/1276958.1277377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276958.1277377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th 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-Marin","raw_affiliation_strings":["ITESM-Intelligent Systems, Monterrey, NL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITESM-Intelligent Systems, Monterrey, NL, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088884006","display_name":"C. J. Far\u00edas Z\u00e1rate","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":"C. J. Farias Zarate","raw_affiliation_strings":["ITESM-Intelligent Systems, Monterrey, NL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITESM-Intelligent Systems, Monterrey, NL, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","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"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Napier University, Edinburgh, UK","institution_ids":["https://openalex.org/I251738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071990852","display_name":"Manuel Valenzuela-Rend\u00f3n","orcid":"https://orcid.org/0000-0002-2206-3550"},"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":"M. Valenzuela-Rendon","raw_affiliation_strings":["ITESM-Intelligent Systems, Monterrey, NL, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITESM-Intelligent Systems, Monterrey, NL, Mexico","institution_ids":["https://openalex.org/I98461037"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5049386377"],"corresponding_institution_ids":["https://openalex.org/I98461037"],"apc_list":null,"apc_paid":null,"fwci":5.9368,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.9503259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2182","last_page":"2189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9984999895095825,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9959999918937683,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9915000200271606,"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":0.9302722215652466},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8432971239089966},{"id":"https://openalex.org/keywords/bin-packing-problem","display_name":"Bin packing problem","score":0.8345848321914673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6837230920791626},{"id":"https://openalex.org/keywords/bin","display_name":"Bin","score":0.5599116683006287},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.48183882236480713},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4715569019317627},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45975279808044434},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44727379083633423},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.44618529081344604},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43044590950012207},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4156051278114319},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3738265037536621},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3027750849723816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23390468955039978}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.9302722215652466},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8432971239089966},{"id":"https://openalex.org/C87219788","wikidata":"https://www.wikidata.org/wiki/Q814581","display_name":"Bin packing problem","level":3,"score":0.8345848321914673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6837230920791626},{"id":"https://openalex.org/C156273044","wikidata":"https://www.wikidata.org/wiki/Q4913766","display_name":"Bin","level":2,"score":0.5599116683006287},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48183882236480713},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4715569019317627},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45975279808044434},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44727379083633423},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.44618529081344604},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43044590950012207},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4156051278114319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3738265037536621},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3027750849723816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23390468955039978},{"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1276958.1277377","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1276958.1277377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321739","display_name":"Consejo Nacional de Ciencia y Tecnolog\u00eda","ror":"https://ror.org/059ex5q34"},{"id":"https://openalex.org/F4320323037","display_name":"Instituto Tecnol\u00f3gico y de Estudios Superiores de Monterrey","ror":"https://ror.org/03ayjn504"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1495314826","https://openalex.org/W1497256448","https://openalex.org/W1514875444","https://openalex.org/W1541093892","https://openalex.org/W1569757501","https://openalex.org/W1606791384","https://openalex.org/W1639032689","https://openalex.org/W1668207500","https://openalex.org/W1824538363","https://openalex.org/W1970339583","https://openalex.org/W1979415050","https://openalex.org/W2011039300","https://openalex.org/W2030856354","https://openalex.org/W2032938251","https://openalex.org/W2060747552","https://openalex.org/W2074821977","https://openalex.org/W2084028892","https://openalex.org/W2095301036","https://openalex.org/W2100604298","https://openalex.org/W2105175235","https://openalex.org/W2150808876","https://openalex.org/W2152150600","https://openalex.org/W2171246116","https://openalex.org/W2171979979","https://openalex.org/W2235047952","https://openalex.org/W2241927630","https://openalex.org/W2330425234","https://openalex.org/W3023540311","https://openalex.org/W3149025087","https://openalex.org/W4238753141","https://openalex.org/W4312675197","https://openalex.org/W6629610141","https://openalex.org/W6993059093"],"related_works":["https://openalex.org/W2797538013","https://openalex.org/W2026961896","https://openalex.org/W173368591","https://openalex.org/W2034272113","https://openalex.org/W2138242427","https://openalex.org/W2104955674","https://openalex.org/W4288260564","https://openalex.org/W2068892231","https://openalex.org/W2096053066","https://openalex.org/W2001915926"],"abstract_inverted_index":{"The":[0,42,60,110],"idea":[1],"behind":[2],"hyper-heuristics":[3,80],"is":[4,63,112],"to":[5,12,35],"discover":[6],"some":[7],"combination":[8,23],"of":[9,17,76,114,126],"straightforward":[10],"heuristics":[11],"solve":[13,38],"a":[14,53,66,70,98],"wide":[15],"range":[16],"problems.":[18,41,59],"To":[19],"be":[20],"worthwhile,":[21],"such":[22],"should":[24],"outperform":[25],"the":[26,106,121,127],"single":[27],"heuristics.":[28,109],"This":[29],"paper":[30],"presents":[31],"two":[32],"Evolutionary-Computation-based":[33],"Models":[34],"producehyper-heuristics":[36],"that":[37,68],"two-dimensional":[39],"bin-packing":[40],"first":[43],"model":[44,62],"uses":[45,69],"an":[46],"XCS-type":[47],"Learning":[48],"Classifier":[49],"System":[50],"which":[51,73,86],"learns":[52],"solution":[54],"procedure":[55],"when":[56,93],"solving":[57],"individual":[58],"second":[61],"based":[64],"on":[65],"GA":[67],"variable-length":[71],"representation,":[72],"evolves":[74],"combinations":[75,107],"condition-action":[77],"rules":[78],"producing":[79],"after":[81],"going":[82],"through":[83],"alearning":[84],"process":[85],"includes":[87],"training":[88],"and":[89,95],"testing":[90],"phases.Both":[91],"approaches,":[92],"tested":[94],"compared":[96],"using":[97],"large":[99],"set":[100],"ofbenchmark":[101],"problems,":[102],"perform":[103],"better":[104],"than":[105],"ofsingle":[108],"testbed":[111,128],"composed":[113],"problems":[115],"used":[116],"inother":[117],"similar":[118],"studies":[119],"in":[120],"literature.":[122],"Some":[123],"additional":[124],"instances":[125],"were":[129],"randomly":[130],"generated.":[131]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}