{"id":"https://openalex.org/W2730674368","doi":"https://doi.org/10.1109/cec.2017.7969526","title":"Automated design of hyper-heuristics components to solve the PSP problem with HP model","display_name":"Automated design of hyper-heuristics components to solve the PSP problem with HP model","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2730674368","doi":"https://doi.org/10.1109/cec.2017.7969526","mag":"2730674368"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2017.7969526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969526","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":"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/A5059620050","display_name":"Vidal Daniel da Fontoura","orcid":null},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vidal D. Fontoura","raw_affiliation_strings":["Federal University of Parana (DInf-UFPR), Curitiba, PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Parana (DInf-UFPR), Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007123533","display_name":"Aurora Pozo","orcid":"https://orcid.org/0000-0001-5808-3919"},"institutions":[{"id":"https://openalex.org/I52418104","display_name":"Universidade Federal do Paran\u00e1","ror":"https://ror.org/05syd6y78","country_code":"BR","type":"education","lineage":["https://openalex.org/I52418104"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aurora T. R. Pozo","raw_affiliation_strings":["Federal University of Parana (DInf-UFPR), Curitiba, PR, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Parana (DInf-UFPR), Curitiba, PR, Brazil","institution_ids":["https://openalex.org/I52418104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034080501","display_name":"Roberto Santana","orcid":"https://orcid.org/0000-0002-1005-8535"},"institutions":[{"id":"https://openalex.org/I169108374","display_name":"University of the Basque Country","ror":"https://ror.org/000xsnr85","country_code":"ES","type":"education","lineage":["https://openalex.org/I169108374"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Roberto Santana","raw_affiliation_strings":["University of the Basque Country, San Sebastian, Spain"],"affiliations":[{"raw_affiliation_string":"University of the Basque Country, San Sebastian, Spain","institution_ids":["https://openalex.org/I169108374"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5059620050"],"corresponding_institution_ids":["https://openalex.org/I52418104"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.69642701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"1","issue":null,"first_page":"1848","last_page":"1855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9965999722480774,"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":0.9965999722480774,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9936000108718872,"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":0.9818000197410583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8411232829093933},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317506074905396},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6910882592201233},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5627195835113525},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5502588152885437},{"id":"https://openalex.org/keywords/strengths-and-weaknesses","display_name":"Strengths and weaknesses","score":0.5437082648277283},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47224897146224976},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4634200632572174},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45416125655174255},{"id":"https://openalex.org/keywords/protein-structure-prediction","display_name":"Protein structure prediction","score":0.43024742603302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39070218801498413},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3372875452041626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1318853199481964},{"id":"https://openalex.org/keywords/protein-structure","display_name":"Protein structure","score":0.11062964797019958}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8411232829093933},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317506074905396},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6910882592201233},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5627195835113525},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5502588152885437},{"id":"https://openalex.org/C63882131","wikidata":"https://www.wikidata.org/wiki/Q17122954","display_name":"Strengths and weaknesses","level":2,"score":0.5437082648277283},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47224897146224976},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4634200632572174},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45416125655174255},{"id":"https://openalex.org/C18051474","wikidata":"https://www.wikidata.org/wiki/Q899656","display_name":"Protein structure prediction","level":3,"score":0.43024742603302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39070218801498413},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3372875452041626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1318853199481964},{"id":"https://openalex.org/C47701112","wikidata":"https://www.wikidata.org/wiki/Q735188","display_name":"Protein structure","level":2,"score":0.11062964797019958},{"id":"https://openalex.org/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","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},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2017.7969526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2017.7969526","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320336557","display_name":"Ci\u00eancia sem Fronteiras","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1481729573","https://openalex.org/W1576818901","https://openalex.org/W1593481303","https://openalex.org/W1829921621","https://openalex.org/W1984527736","https://openalex.org/W1992639615","https://openalex.org/W2006332277","https://openalex.org/W2072441740","https://openalex.org/W2083777413","https://openalex.org/W2126148517","https://openalex.org/W2129526759","https://openalex.org/W2130980745","https://openalex.org/W2145387267"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2280422768","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/W1536056491","https://openalex.org/W2041180560"],"abstract_inverted_index":{"The":[0],"Protein":[1],"Structure":[2],"Prediction":[3],"(PSP)":[4],"problem":[5,78],"is":[6,112],"one":[7],"of":[8,28,70,76,83,96,114,120,137,157,163],"the":[9,29,49,53,63,67,74,77,80,117,153,172,183,189],"modern":[10],"most":[11],"challenging":[12],"problems":[13],"from":[14,179],"science.":[15],"Simplified":[16],"protein":[17,30,45,50,165],"models":[18],"are":[19],"usually":[20],"applied":[21,39,147],"to":[22,42,66,73,90,101,131,148,170,187],"simulate":[23],"and":[24,79,140,155],"study":[25],"some":[26],"characteristics":[27],"folding":[31],"process.":[32],"Hence,":[33],"many":[34],"heuristic":[35],"strategies":[36,58],"have":[37,59,88],"been":[38],"in":[40,47,61,93],"order":[41],"find":[43],"simplified":[44,164],"structures":[46],"which":[48,129],"configuration":[51],"has":[52],"minimal":[54],"energy.":[55],"However,":[56,110],"these":[57],"difficulties":[60],"finding":[62],"optimal":[64],"solutions":[65],"longer":[68],"sequences":[69],"amino-acids,":[71],"due":[72],"complexity":[75],"huge":[81],"amount":[82],"local":[84],"optima.":[85],"Hyper":[86],"heuristics":[87,104],"proved":[89],"be":[91],"useful":[92],"this":[94],"type":[95],"context":[97],"since":[98],"they":[99],"try":[100],"combine":[102],"different":[103],"strengths":[105,154],"into":[106],"a":[107,144,161],"single":[108],"framework.":[109],"there":[111],"lack":[113],"work":[115],"addressing":[116],"automated":[118],"design":[119],"hyper-heuristics":[121],"components.":[122],"This":[123],"paper":[124],"proposes":[125],"GEHyPSP,":[126],"an":[127],"approach":[128,159],"aims":[130],"achieve":[132],"generation,":[133],"through":[134],"grammatical":[135],"evolution,":[136],"selection":[138],"mechanisms":[139],"acceptance":[141],"criteria":[142],"for":[143,176],"hyper-heuristic":[145],"framework":[146],"PSP":[149],"problem.":[150],"We":[151],"investigate":[152],"weaknesses":[156],"our":[158],"on":[160],"benchmark":[162,184],"models.":[166],"GEHyPSP":[167],"was":[168],"able":[169],"reach":[171],"best":[173],"known":[174],"results":[175],"7":[177],"instances":[178],"11":[180],"that":[181],"composed":[182],"set":[185],"used":[186],"evaluate":[188],"approach.":[190]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}