{"id":"https://openalex.org/W1966546589","doi":"https://doi.org/10.1145/2739482.2764686","title":"Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics","display_name":"Selection Hyper-Heuristic Using a Portfolio of Derivative Heuristics","publication_year":2015,"publication_date":"2015-07-10","ids":{"openalex":"https://openalex.org/W1966546589","doi":"https://doi.org/10.1145/2739482.2764686","mag":"1966546589"},"language":"en","primary_location":{"id":"doi:10.1145/2739482.2764686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 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/A5042059436","display_name":"Franti\u0161ek Hru\u0161ka","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Franti\u0161ek Hru\u0161ka","raw_affiliation_strings":["CTU in Prague, Praha, Czech Rep"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTU in Prague, Praha, Czech Rep","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004892921","display_name":"Ji\u0159\u0131\u0301 Kubal\u0131\u0301k","orcid":"https://orcid.org/0000-0002-6965-6142"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Ji\u0159\u00ed Kubal\u00edk","raw_affiliation_strings":["CTU in Prague, Praha, Czech Rep"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTU in Prague, Praha, Czech Rep","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I44504214"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.09984338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1401","last_page":"1402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":1.0,"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":1.0,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.8691822290420532},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.7713381052017212},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.720963180065155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5903103947639465},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5640279054641724},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5098323225975037},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4541338384151459},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2955365777015686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26798003911972046}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8691822290420532},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.7713381052017212},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.720963180065155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5903103947639465},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5640279054641724},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5098323225975037},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4541338384151459},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2955365777015686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26798003911972046},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"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/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2739482.2764686","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2739482.2764686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6325461607","display_name":null,"funder_award_id":"SGS14/194/OHK3/3T/13","funder_id":"https://openalex.org/F4320309972","funder_display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze"}],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1501435780","https://openalex.org/W2072441740","https://openalex.org/W2111563176","https://openalex.org/W2111581650","https://openalex.org/W2114939271"],"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/W2041180560","https://openalex.org/W2586529194","https://openalex.org/W1628567638","https://openalex.org/W1828750805"],"abstract_inverted_index":{"Generally,":[0],"we":[1],"distinguish":[2],"between":[3],"two":[4,41],"classes":[5],"of":[6,50,59,87],"hyper-heuristic":[7],"approaches,":[8],"heuristic":[9,12,77],"selection":[10,78],"and":[11,21,110],"generation.":[13],"The":[14,32],"former":[15],"one":[16],"works":[17],"with":[18,67,105],"existing":[19],"heuristics":[20,52,61,88,119],"tries":[22],"to":[23,69,82,90],"find":[24,83],"their":[25],"optimal":[26,85],"order":[27],"for":[28,62],"solving":[29],"the":[30,63,70,73,76,84,91,97,106,117,125],"instance.":[31],"later":[33],"approach":[34,79],"automatically":[35],"generates":[36],"new":[37],"heuristic.":[38],"Here,":[39],"these":[40],"approaches":[42],"are":[43,53],"combined":[44],"so":[45],"that,":[46],"first,":[47],"a":[48,56],"number":[49],"various":[51],"derived":[54,118],"from":[55],"limited":[57],"set":[58],"pre-existing":[60],"selected":[64],"optimization":[65],"problem":[66],"regard":[68],"diversity":[71],"among":[72],"heuristics.":[74,113],"Then,":[75],"is":[80],"used":[81],"sequence":[86],"leading":[89],"best":[92],"solution.":[93],"Proof-of-concept":[94],"experiments":[95],"on":[96],"Capacitated":[98],"Vehicle":[99],"Routing":[100],"Problem":[101],"were":[102],"carried":[103],"out":[104],"well-known":[107],"Clarke-Wright,":[108],"Mole-Jameson":[109],"Kilby":[111],"constructive":[112],"Results":[114],"show":[115],"that":[116],"produce":[120],"consistently":[121],"better":[122],"results":[123],"than":[124],"original":[126],"ones.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}