{"id":"https://openalex.org/W2727052904","doi":"https://doi.org/10.1109/cec.2017.7969623","title":"Improving hyper-heuristic performance through feature transformation","display_name":"Improving hyper-heuristic performance through feature transformation","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2727052904","doi":"https://doi.org/10.1109/cec.2017.7969623","mag":"2727052904"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","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/A5040026225","display_name":"Iv\u00e1n Amaya","orcid":"https://orcid.org/0000-0002-8821-7137"},"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":"Ivan Amaya","raw_affiliation_strings":["School of Engineering and Sciences, Tecnologico de Monterrey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences, Tecnologico de Monterrey","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":"Jose Carlos Ortiz-Bayliss","raw_affiliation_strings":["School of Engineering and Sciences, Tecnologico de Monterrey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences, Tecnologico de Monterrey","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041843953","display_name":"Andres E. Gutierrez-Rodr\u00edguez","orcid":"https://orcid.org/0000-0003-4178-1635"},"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":"Andres Eduardo Gutierrez-Rodriguez","raw_affiliation_strings":["School of Engineering and Sciences, Tecnologico de Monterrey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences, Tecnologico de Monterrey","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-Marin","raw_affiliation_strings":["School of Engineering and Sciences, Tecnologico de Monterrey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Sciences, Tecnologico de Monterrey","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085548317","display_name":"Carlos A. Coello Coello","orcid":"https://orcid.org/0000-0002-8435-680X"},"institutions":[{"id":"https://openalex.org/I68368234","display_name":"Centro de Investigaci\u00f3n y de Estudios Avanzados del Instituto Polit\u00e9cnico Nacional","ror":"https://ror.org/009eqmr18","country_code":"MX","type":"facility","lineage":["https://openalex.org/I59361560","https://openalex.org/I68368234"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos A. Coello Coello","raw_affiliation_strings":["CINVESTAV-IPN (Evolutionary Computation Group)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CINVESTAV-IPN (Evolutionary Computation Group)","institution_ids":["https://openalex.org/I68368234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"7245","issue":null,"first_page":"2614","last_page":"2621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9995999932289124,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9976999759674072,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9933000206947327,"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":0.8513234257698059},{"id":"https://openalex.org/keywords/constraint-satisfaction-problem","display_name":"Constraint satisfaction problem","score":0.7084763646125793},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6703575253486633},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.660894513130188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6559218764305115},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5428154468536377},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5155925154685974},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5098256468772888},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.48472997546195984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4823581576347351},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4630335569381714},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4391046166419983},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4124471843242645},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3573467433452606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2399519979953766}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8513234257698059},{"id":"https://openalex.org/C199622910","wikidata":"https://www.wikidata.org/wiki/Q1128326","display_name":"Constraint satisfaction problem","level":3,"score":0.7084763646125793},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6703575253486633},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.660894513130188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6559218764305115},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5428154468536377},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5155925154685974},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5098256468772888},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.48472997546195984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4823581576347351},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4630335569381714},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4391046166419983},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4124471843242645},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3573467433452606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2399519979953766},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2017.7969623","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969623","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.5299999713897705},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"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":26,"referenced_works":["https://openalex.org/W137179583","https://openalex.org/W1134221749","https://openalex.org/W1487986911","https://openalex.org/W1495182017","https://openalex.org/W1495775210","https://openalex.org/W1550402024","https://openalex.org/W1567870026","https://openalex.org/W1829921621","https://openalex.org/W2008029472","https://openalex.org/W2026566141","https://openalex.org/W2034312705","https://openalex.org/W2035567824","https://openalex.org/W2056956492","https://openalex.org/W2072441740","https://openalex.org/W2122856906","https://openalex.org/W2131422526","https://openalex.org/W2138522309","https://openalex.org/W2151554678","https://openalex.org/W2161393961","https://openalex.org/W2161754609","https://openalex.org/W2264593986","https://openalex.org/W2334681783","https://openalex.org/W2346152773","https://openalex.org/W6605663569","https://openalex.org/W6629642255","https://openalex.org/W6678295559"],"related_works":["https://openalex.org/W3177062893","https://openalex.org/W1483279355","https://openalex.org/W3125143773","https://openalex.org/W2257516073","https://openalex.org/W803550684","https://openalex.org/W2007032764","https://openalex.org/W2483226803","https://openalex.org/W3143937874","https://openalex.org/W2067280619","https://openalex.org/W4251343851"],"abstract_inverted_index":{"Hyper-heuristics":[0],"are":[1],"powerful":[2],"search":[3],"methodologies":[4],"that":[5,23,96],"can":[6],"adapt":[7],"to":[8,41,76,85,125],"different":[9],"kinds":[10],"of":[11,15,31,61,72,90,106,116,148,167],"problems.":[12],"One":[13],"element":[14],"paramount":[16],"importance,":[17],"however,":[18],"is":[19],"the":[20,52,62,70,78,87,107,117,132,144,164],"selection":[21],"module":[22],"they":[24],"incorporate.":[25],"Traditional":[26],"approaches":[27],"define":[28,39],"a":[29,35,83,91,103,113],"set":[30],"features":[32,47],"for":[33],"characterizing":[34],"problem":[36,108],"and,":[37,81,110],"thus,":[38],"how":[40],"best":[42],"solve":[43],"it.":[44],"However,":[45],"some":[46],"may":[48,100],"vary":[49],"nonlinearly":[50],"as":[51,82,111],"solver":[53],"progresses,":[54],"requiring":[55],"higher":[56],"resolution":[57,80],"in":[58,102,159],"specific":[59],"areas":[60],"feature":[63,74,98,120],"domain.":[64],"This":[65],"work":[66],"focuses":[67],"on":[68,136],"assessing":[69],"advantage":[71],"using":[73,97],"transformations":[75,99],"improve":[77,86],"given":[79],"consequence,":[84,112],"overall":[88],"performance":[89,115],"hyper-heuristic.":[92],"We":[93],"provide":[94],"evidence":[95],"result":[101],"better":[104,114],"discrimination":[105],"instance":[109],"hyper-heuristics.":[118],"The":[119,140],"transformation":[121],"strategy":[122,142],"was":[123],"applied":[124],"an":[126],"evolutionary-based":[127],"hyper-heuristic":[128],"model":[129],"taken":[130],"from":[131],"literature":[133],"and":[134,154],"tested":[135],"constraint":[137],"satisfaction":[138],"problems":[139],"proposed":[141],"increased":[143],"median":[145,165],"success":[146],"rate":[147],"hyper-heuristics":[149],"by":[150,171],"more":[151],"than":[152],"13%":[153],"reduced":[155],"its":[156],"standard":[157],"deviation":[158],"about":[160],"7%,":[161],"while":[162],"reducing":[163],"number":[166],"adjusted":[168],"consistency":[169],"checks":[170],"almost":[172],"30%.":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
