{"id":"https://openalex.org/W3083600904","doi":"https://doi.org/10.1109/cec48606.2020.9185591","title":"A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation","display_name":"A Primary Study on Hyper-Heuristics to Customise Metaheuristics for Continuous optimisation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3083600904","doi":"https://doi.org/10.1109/cec48606.2020.9185591","mag":"3083600904"},"language":"en","primary_location":{"id":"doi:10.1109/cec48606.2020.9185591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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/A5086193689","display_name":"Jorge M. Cruz\u2010Duarte","orcid":"https://orcid.org/0000-0003-4494-7864"},"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":"Jorge M. Cruz-Duarte","raw_affiliation_strings":["School of Engineering and Science, Tecnologico de Monterrey"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Science, Tecnologico de Monterrey","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"middle","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 Science, Tecnologico de Monterrey"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Science, 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 Science, Tecnologico de Monterrey"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Science, Tecnologico de Monterrey","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":["School of Engineering and Science, Tecnologico de Monterrey"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Science, Tecnologico de Monterrey","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"last","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 Science, Tecnologico de Monterrey"],"affiliations":[{"raw_affiliation_string":"School of Engineering and Science, Tecnologico de Monterrey","institution_ids":["https://openalex.org/I98461037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086193689"],"corresponding_institution_ids":["https://openalex.org/I98461037"],"apc_list":null,"apc_paid":null,"fwci":2.3861,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.90953682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9922999739646912,"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/metaheuristic","display_name":"Metaheuristic","score":0.9235547780990601},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7314468622207642},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6433728337287903},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6428619623184204},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5902068018913269},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5549517273902893},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5233734846115112},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.48545390367507935},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.46237513422966003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3132730722427368},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19583922624588013}],"concepts":[{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.9235547780990601},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7314468622207642},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6433728337287903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6428619623184204},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5902068018913269},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5549517273902893},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5233734846115112},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.48545390367507935},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.46237513422966003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3132730722427368},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19583922624588013},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec48606.2020.9185591","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec48606.2020.9185591","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Congress on Evolutionary Computation (CEC)","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":30,"referenced_works":["https://openalex.org/W1523741643","https://openalex.org/W1544329015","https://openalex.org/W1595159159","https://openalex.org/W1975162393","https://openalex.org/W1976744965","https://openalex.org/W2016596438","https://openalex.org/W2022453756","https://openalex.org/W2024060531","https://openalex.org/W2032982318","https://openalex.org/W2097998348","https://openalex.org/W2169245194","https://openalex.org/W2291910993","https://openalex.org/W2293848204","https://openalex.org/W2310612427","https://openalex.org/W2543580944","https://openalex.org/W2615708612","https://openalex.org/W2783478375","https://openalex.org/W2783827472","https://openalex.org/W2891971415","https://openalex.org/W2894900521","https://openalex.org/W2902559752","https://openalex.org/W2943528199","https://openalex.org/W2943857514","https://openalex.org/W2950202256","https://openalex.org/W2966907151","https://openalex.org/W2972093761","https://openalex.org/W3098687075","https://openalex.org/W4210339101","https://openalex.org/W4235955463","https://openalex.org/W6674385629"],"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/W4312926500","https://openalex.org/W2041180560","https://openalex.org/W2586529194","https://openalex.org/W1628567638"],"abstract_inverted_index":{"Literature":[0],"is":[1,14,22],"prolific":[2],"with":[3,81],"metaheuristics":[4,80],"for":[5,32,46,62],"solving":[6],"continuous":[7],"optimisation":[8],"problems.":[9],"But,":[10],"in":[11],"practice,":[12],"it":[13,21],"difficult":[15],"to":[16,24,102],"choose":[17],"one":[18],"appropriately.":[19],"Moreover,":[20],"necessary":[23],"determine":[25],"a":[26,40,44,86],"good":[27],"enough":[28],"set":[29],"of":[30],"parameters":[31],"the":[33],"selected":[34],"approach.":[35],"Hence,":[36],"this":[37,67],"work":[38],"proposes":[39],"strategy":[41,68],"based":[42],"on":[43],"hyper-heuristic":[45],"tailoring":[47],"population-based":[48],"metaheuristics.":[49],"Besides,":[50],"our":[51],"approach":[52],"considers":[53],"search":[54,94],"operators":[55,95],"from":[56],"well-known":[57],"techniques":[58],"as":[59],"building":[60],"blocks":[61],"new":[63],"ones.":[64],"We":[65,78,84],"test":[66],"through":[69],"four":[70],"benchmark":[71],"functions":[72],"and":[73],"by":[74],"varying":[75],"their":[76],"dimensions.":[77],"obtain":[79],"diverse":[82],"configurations.":[83],"observe":[85],"possible":[87],"performance":[88],"boost":[89],"when":[90],"two":[91],"or":[92],"more":[93],"are":[96],"considered.":[97],"This":[98],"could":[99],"be":[100],"due":[101],"previously":[103],"unexplored":[104],"interactions":[105],"between":[106],"such":[107],"operators.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
