{"id":"https://openalex.org/W1966292224","doi":"https://doi.org/10.1145/2330163.2330339","title":"Improving the performance of vector hyper-heuristics through local search","display_name":"Improving the performance of vector hyper-heuristics through local search","publication_year":2012,"publication_date":"2012-07-07","ids":{"openalex":"https://openalex.org/W1966292224","doi":"https://doi.org/10.1145/2330163.2330339","mag":"1966292224"},"language":"en","primary_location":{"id":"doi:10.1145/2330163.2330339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330339","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 on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/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":"Jos\u00e9 Carlos Ortiz-Bayliss","raw_affiliation_strings":["Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","Tecnologico de Monterrey, Monterrey, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]},{"raw_affiliation_string":"Tecnologico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","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":false,"raw_author_name":"Hugo Terashima-Mar\u00edn","raw_affiliation_strings":["Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","Tecnologico de Monterrey, Monterrey, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]},{"raw_affiliation_string":"Tecnologico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028807044","display_name":"Santiago Enrique Conant-Pablos","orcid":"https://orcid.org/0000-0001-6270-3164"},"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":"Santiago Enrique Conant-Pablos","raw_affiliation_strings":["Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","Tecnologico de Monterrey, Monterrey, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tecnol\u00f3gico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]},{"raw_affiliation_string":"Tecnologico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020026827","display_name":"Ender \u00d6zcan","orcid":"https://orcid.org/0000-0003-0276-1391"},"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":"Ender \u00d6zcan","raw_affiliation_strings":["Universtity of Nottingham, Nottingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universtity of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049853918","display_name":"Andrew J. Parkes","orcid":"https://orcid.org/0000-0002-8847-1856"},"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":"Andrew J. Parkes","raw_affiliation_strings":["University of Nottingham, Nottingham, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1269","last_page":"1276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9800999760627747,"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":0.9410427212715149},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6713260412216187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6449587345123291},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.6443606019020081},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.5685582756996155},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5558640360832214},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.5314468741416931},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4444877803325653},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4277881681919098},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.41543906927108765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087281823158264},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2278432548046112}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.9410427212715149},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6713260412216187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6449587345123291},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.6443606019020081},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.5685582756996155},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5558640360832214},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5314468741416931},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4444877803325653},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4277881681919098},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.41543906927108765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087281823158264},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2278432548046112},{"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/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2330163.2330339","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2330163.2330339","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 on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.368.6679","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.368.6679","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.nott.ac.uk/~exo/docs/publications/vectorHH.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.726.5634","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.726.5634","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://jcobayliss.net/papers/GECCO2012.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1956160721","display_name":null,"funder_award_id":"EP/F033214/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"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"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W16292936","https://openalex.org/W103830027","https://openalex.org/W1540533943","https://openalex.org/W1550402024","https://openalex.org/W1568944559","https://openalex.org/W1579525409","https://openalex.org/W1620410031","https://openalex.org/W1745341198","https://openalex.org/W1814515812","https://openalex.org/W1992581985","https://openalex.org/W2005308601","https://openalex.org/W2015865970","https://openalex.org/W2024182184","https://openalex.org/W2044742178","https://openalex.org/W2045082848","https://openalex.org/W2068852367","https://openalex.org/W2071639741","https://openalex.org/W2072755230","https://openalex.org/W2074529765","https://openalex.org/W2076230473","https://openalex.org/W2093320882","https://openalex.org/W2095435811","https://openalex.org/W2107731844","https://openalex.org/W2121766240","https://openalex.org/W2122410182","https://openalex.org/W2130617900","https://openalex.org/W2135432705","https://openalex.org/W2145079270","https://openalex.org/W2151266168","https://openalex.org/W2162642735","https://openalex.org/W2167036627","https://openalex.org/W2169209574","https://openalex.org/W2227618531","https://openalex.org/W3004042307","https://openalex.org/W3021909058","https://openalex.org/W3036035835","https://openalex.org/W4285719527","https://openalex.org/W6678087030"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W1483279355","https://openalex.org/W3125143773","https://openalex.org/W2257516073","https://openalex.org/W2007032764","https://openalex.org/W803550684","https://openalex.org/W2483226803","https://openalex.org/W4352977312","https://openalex.org/W2041180560","https://openalex.org/W2107731844"],"abstract_inverted_index":{"Hyper-heuristics":[0],"enable":[1],"us":[2],"to":[3,66,110,124],"selectively":[4],"apply":[5],"the":[6,13,16,34,50,63,75,79,86,119,126],"most":[7],"suitable":[8],"low-level":[9,39],"heuristic":[10,140],"depending":[11],"on":[12,55],"properties":[14],"of":[15,36,71,105,128,146],"problem":[17],"at":[18,81],"hand.":[19],"They":[20],"can":[21],"be":[22],"used":[23],"for":[24,112,133],"solving":[25],"Constraint":[26],"Satisfaction":[27],"Problems":[28],"(CSP)":[29],"in":[30,49,88,96,141],"different":[31,129],"ways":[32],"considering":[33,74],"variety":[35],"hyper-heuristics":[37],"and":[38,131],"heuristics.":[40],"A":[41,60],"particular":[42],"approach":[43,95,121],"which":[44,97],"has":[45],"been":[46],"receiving":[47],"attention":[48],"recent":[51],"years":[52],"is":[53,100,122],"based":[54],"variable":[56,65,113],"ordering":[57],"using":[58,68],"hyper-heuristics.":[59],"hyper-heuristic":[61,99],"decides":[62],"next":[64],"process":[67],"a":[69,82,103,144],"set":[70,104],"predefined":[72],"heuristics":[73,111,130],"features":[76,109],"that":[77,118],"describe":[78],"instance":[80,108],"given":[83],"point":[84],"during":[85],"search":[87],"this":[89],"framework.":[90],"This":[91],"study":[92],"explores":[93],"an":[94],"each":[98,139],"represented":[101],"as":[102],"vectors":[106],"mapping":[107],"ordering.":[114],"The":[115],"results":[116],"suggest":[117],"proposed":[120],"able":[123],"combine":[125],"strengths":[127],"compensate":[132],"their":[134],"weaknesses":[135],"performing":[136],"better":[137],"than":[138],"isolation":[142],"across":[143],"range":[145],"instances.":[147]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
