{"id":"https://openalex.org/W4385189822","doi":"https://doi.org/10.1145/3583133.3590663","title":"A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization","display_name":"A multi-policy sequence-based selection hyper-heuristic for multi-objective optimization","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385189822","doi":"https://doi.org/10.1145/3583133.3590663"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590663","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 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/A5088278047","display_name":"Michele Urbani","orcid":"https://orcid.org/0000-0002-0519-6829"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Michele Urbani","raw_affiliation_strings":["Department of Industrial Engineering, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079095675","display_name":"Francesco Pilati","orcid":"https://orcid.org/0000-0002-6085-0985"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Pilati","raw_affiliation_strings":["Department of Industrial Engineering, University of Trento, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088278047"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":0.2018,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54269835,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"415","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9991000294685364,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9990000128746033,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7917282581329346},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6939744353294373},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6925176978111267},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6186020374298096},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.5887660384178162},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5884699821472168},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5280814170837402},{"id":"https://openalex.org/keywords/hyper-heuristic","display_name":"Hyper-heuristic","score":0.5184975862503052},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5081851482391357},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4809805154800415},{"id":"https://openalex.org/keywords/vehicle-routing-problem","display_name":"Vehicle routing problem","score":0.47774738073349},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.46631890535354614},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.42736101150512695},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42030447721481323},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.381141722202301},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2866927981376648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27342525124549866},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23650005459785461},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19160062074661255}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7917282581329346},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939744353294373},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6925176978111267},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6186020374298096},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.5887660384178162},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5884699821472168},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5280814170837402},{"id":"https://openalex.org/C117270229","wikidata":"https://www.wikidata.org/wiki/Q5957539","display_name":"Hyper-heuristic","level":5,"score":0.5184975862503052},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5081851482391357},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4809805154800415},{"id":"https://openalex.org/C123784306","wikidata":"https://www.wikidata.org/wiki/Q944041","display_name":"Vehicle routing problem","level":3,"score":0.47774738073349},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.46631890535354614},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.42736101150512695},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42030447721481323},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.381141722202301},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2866927981376648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27342525124549866},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23650005459785461},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19160062074661255},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583133.3590663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3590663","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 Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unitn.it:11572/399144","is_oa":false,"landing_page_url":"https://dl.acm.org/doi/10.1145/3583133.3590663","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320326086","display_name":"Provincia Autonoma di Trento","ror":"https://ror.org/017e99q89"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2105002757","https://openalex.org/W2126105956","https://openalex.org/W2890163410","https://openalex.org/W3021613070","https://openalex.org/W3183976931"],"related_works":["https://openalex.org/W2996796639","https://openalex.org/W4366149309","https://openalex.org/W2972305535","https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2524716476","https://openalex.org/W2001591765","https://openalex.org/W2073147994","https://openalex.org/W2384474142","https://openalex.org/W3083133203"],"abstract_inverted_index":{"Selection":[0],"hyper-heuristics":[1],"(SSHH)":[2],"are":[3,146],"search":[4],"strategies":[5],"that":[6],"can":[7,158],"be":[8,48,58,185],"successfully":[9,186],"applied":[10],"to":[11,20,71,125,134,149,175,184,188],"multi-objective":[12],"optimization":[13,24],"(MOO)":[14],"problems.":[15],"They":[16],"showed":[17,122],"resilient":[18],"results":[19],"different":[21,127,190],"types":[22],"of":[23,32,77,89,92,101,105,140,155],"problems,":[25,107],"which":[26],"may":[27],"come":[28],"at":[29],"the":[30,51,54,64,74,99,123,138,141,150,161,164,180,192],"cost":[31],"a":[33,41,90,102,116],"longer":[34],"resolution":[35,100],"time":[36],"than":[37],"other":[38],"metaheuristics.":[39],"Learning":[40],"single":[42],"selection":[43,79,128],"rule":[44],"in":[45],"MOO":[46],"might":[47,57],"limiting":[49],"because":[50],"information":[52],"from":[53,191],"multiple":[55],"objectives":[56],"unexploited.":[59],"A":[60],"novel":[61],"approach":[62,66,121,181],"named":[63],"multi-policy":[65,120],"is":[67,96,113,166,182],"proposed":[68,171],"and":[69,98,133,179],"discussed":[70],"further":[72],"enhance":[73],"searching":[75],"ability":[76,124],"sequence-based":[78],"hyper-heuristics,":[80],"together":[81],"with":[82],"an":[83],"ad-hoc":[84],"learning":[85],"rule.":[86],"The":[87,119,153,170],"availability":[88,154],"set":[91],"problem-specific":[93],"low-level":[94],"heuristics":[95],"assumed":[97],"specific":[103],"class":[104],"combinatorial":[106],"i.e.,":[108,143],"vehicle":[109],"routing":[110],"problems":[111,189],"(VRPs),":[112],"considered":[114],"for":[115,130,168],"numerical":[117],"example.":[118],"learn":[126],"rules":[129],"each":[131],"objective":[132],"change":[135],"them":[136],"during":[137],"execution":[139],"algorithm,":[142],"when":[144],"solutions":[145,178],"getting":[147],"closer":[148],"Pareto":[151],"front.":[152],"parallel":[156],"computation":[157],"speed":[159],"up":[160],"calculation":[162],"since":[163],"methodology":[165,172],"suitable":[167],"parallelization.":[169],"was":[173],"found":[174],"produce":[176],"production-ready":[177],"expected":[183],"extended":[187],"VRP.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
