{"id":"https://openalex.org/W2074529765","doi":"https://doi.org/10.1145/1389095.1389206","title":"Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems","display_name":"Hyper-heuristics for the dynamic variable ordering in constraint satisfaction problems","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2074529765","doi":"https://doi.org/10.1145/1389095.1389206","mag":"2074529765"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389206","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 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":["Tecnol\u00f3gico de Monterrey, Monterrey, N. L., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, N. L., Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027131130","display_name":"Jos\u00e9 Carlos Ort\u00edz-Bayliss","orcid":"https://orcid.org/0000-0003-3408-2166"},"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":"J. C. Ortiz-Bayliss","raw_affiliation_strings":["Tecnol\u00f3gico de Monterrey, Monterrey, N. L., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, N. L., 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, United Kingdom","Napier University, Edinburgh, United Kingdom#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Napier University, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I251738"]},{"raw_affiliation_string":"Napier University, Edinburgh, United Kingdom#TAB#","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-Rend\u00f3n","raw_affiliation_strings":["Tecnol\u00f3gico de Monterrey, Monterrey, N. L., Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, N. L., 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":2.6688,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.90696571,"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":"571","last_page":"578"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9758999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7288291454315186},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.6943504810333252},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5708447098731995},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5664691925048828},{"id":"https://openalex.org/keywords/constraint-satisfaction","display_name":"Constraint satisfaction","score":0.5334876775741577},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5254929661750793},{"id":"https://openalex.org/keywords/local-consistency","display_name":"Local consistency","score":0.5084954500198364},{"id":"https://openalex.org/keywords/constraint-satisfaction-dual-problem","display_name":"Constraint satisfaction dual problem","score":0.4650840163230896},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.426941454410553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2473752498626709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1815914809703827}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7288291454315186},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.6943504810333252},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5708447098731995},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5664691925048828},{"id":"https://openalex.org/C44616089","wikidata":"https://www.wikidata.org/wiki/Q30158686","display_name":"Constraint satisfaction","level":3,"score":0.5334876775741577},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5254929661750793},{"id":"https://openalex.org/C137105694","wikidata":"https://www.wikidata.org/wiki/Q3407510","display_name":"Local consistency","level":4,"score":0.5084954500198364},{"id":"https://openalex.org/C183046576","wikidata":"https://www.wikidata.org/wiki/Q5164380","display_name":"Constraint satisfaction dual problem","level":5,"score":0.4650840163230896},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.426941454410553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2473752498626709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1815914809703827},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1389095.1389206","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389206","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 on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.152.8014","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8014","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p571.pdf","raw_type":"text"}],"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":34,"referenced_works":["https://openalex.org/W4326551","https://openalex.org/W103830027","https://openalex.org/W1497256448","https://openalex.org/W1514875444","https://openalex.org/W1527172735","https://openalex.org/W1541093892","https://openalex.org/W1569757501","https://openalex.org/W1593691361","https://openalex.org/W1606791384","https://openalex.org/W1639032689","https://openalex.org/W1668207500","https://openalex.org/W2001514736","https://openalex.org/W2011039300","https://openalex.org/W2030856354","https://openalex.org/W2035567824","https://openalex.org/W2068852367","https://openalex.org/W2100604298","https://openalex.org/W2107731844","https://openalex.org/W2121766240","https://openalex.org/W2122410182","https://openalex.org/W2130778140","https://openalex.org/W2152150600","https://openalex.org/W2167036627","https://openalex.org/W2171246116","https://openalex.org/W2235047952","https://openalex.org/W2330425234","https://openalex.org/W3023540311","https://openalex.org/W3092269876","https://openalex.org/W3149025087","https://openalex.org/W4238753141","https://openalex.org/W4312675197","https://openalex.org/W6629610141","https://openalex.org/W6678087030","https://openalex.org/W6993059093"],"related_works":["https://openalex.org/W2091348864","https://openalex.org/W2569549435","https://openalex.org/W2784687883","https://openalex.org/W1550482496","https://openalex.org/W2141935412","https://openalex.org/W2737098235","https://openalex.org/W2161128834","https://openalex.org/W2012141606","https://openalex.org/W2012694101","https://openalex.org/W2136261870"],"abstract_inverted_index":{"The":[0,48,93],"idea":[1],"behind":[2],"hyper-heuristics":[3,38,61],"is":[4,95],"to":[5,12],"discover":[6],"some":[7],"combination":[8,23],"of":[9,17,57,82,90,97],"straightforward":[10],"heuristics":[11],"solve":[13],"a":[14,32,51,65,79],"wide":[15],"range":[16],"problems.":[18],"To":[19],"be":[20],"worthwhile,":[21],"such":[22],"should":[24],"outperform":[25],"the":[26,40,91],"single":[27],"heuristics.":[28],"This":[29],"paper":[30],"presents":[31],"GA-based":[33],"method":[34],"that":[35],"produces":[36],"general":[37],"for":[39,88],"dynamic":[41],"variable":[42],"ordering":[43],"within":[44],"Constraint":[45],"Satisfaction":[46],"Problems.":[47],"GA":[49],"uses":[50],"variable-length":[52],"representation,":[53],"which":[54,68],"evolves":[55],"combinations":[56],"condition-action":[58],"rules":[59],"producing":[60],"after":[62],"going":[63],"through":[64],"learning":[66],"process":[67],"includes":[69],"training":[70],"and":[71],"testing":[72],"phases.":[73],"Such":[74],"hyper-heuristics,":[75],"when":[76],"tested":[77],"with":[78],"large":[80],"set":[81],"benchmark":[83],"problems,":[84],"produce":[85],"encouraging":[86],"results":[87],"most":[89],"cases.":[92],"testebed":[94],"composed":[96],"problems":[98],"randomly":[99],"generated":[100],"using":[101],"an":[102],"algorithm":[103],"proposed":[104],"by":[105],"Prosser.":[106]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}