{"id":"https://openalex.org/W4294811694","doi":"https://doi.org/10.1109/cec55065.2022.9870264","title":"DMC-GRASP: A Continuous GRASP hybridized with Data Mining","display_name":"DMC-GRASP: A Continuous GRASP hybridized with Data Mining","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4294811694","doi":"https://doi.org/10.1109/cec55065.2022.9870264"},"language":"en","primary_location":{"id":"doi:10.1109/cec55065.2022.9870264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870264","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cora.ucc.ie/bitstreams/6db39396-3e7f-47a8-8de7-d78fe74b4e71/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039037812","display_name":"Raphael Gomes Santos","orcid":"https://orcid.org/0000-0001-9824-318X"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Raphael Gomes Santos","raw_affiliation_strings":["Instituto de Computa&#x00E7;&#x00E3;o, Universidade Federal Fluminense (UFF),Niter&#x00F3;i,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Computa&#x00E7;&#x00E3;o, Universidade Federal Fluminense (UFF),Niter&#x00F3;i,Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057541548","display_name":"Alexandre Plastino","orcid":"https://orcid.org/0000-0003-4039-0915"},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alexandre Plastino","raw_affiliation_strings":["Instituto de Computa&#x00E7;&#x00E3;o, Universidade Federal Fluminense (UFF),Niter&#x00F3;i,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Computa&#x00E7;&#x00E3;o, Universidade Federal Fluminense (UFF),Niter&#x00F3;i,Brazil","institution_ids":["https://openalex.org/I161127581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049640992","display_name":"Alexandre C\u00easar Muniz de Oliveira","orcid":"https://orcid.org/0000-0002-1499-5307"},"institutions":[{"id":"https://openalex.org/I27577105","display_name":"University College Cork","ror":"https://ror.org/03265fv13","country_code":"IE","type":"education","lineage":["https://openalex.org/I27577105"]},{"id":"https://openalex.org/I47327664","display_name":"Universidade Federal do Maranh\u00e3o","ror":"https://ror.org/043fhe951","country_code":"BR","type":"education","lineage":["https://openalex.org/I47327664"]}],"countries":["BR","IE"],"is_corresponding":false,"raw_author_name":"Alexandre C. M. de Oliveira","raw_affiliation_strings":["Universidade Federal do Maranh&#x00E3;o (UFMA),Departamento de Informatica,Sao Luis,Brazil","Confirm Centre for Smart Manufacturing, School of Computer Science University College Cork, Cork, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Maranh&#x00E3;o (UFMA),Departamento de Informatica,Sao Luis,Brazil","institution_ids":["https://openalex.org/I47327664"]},{"raw_affiliation_string":"Confirm Centre for Smart Manufacturing, School of Computer Science University College Cork, Cork, Ireland","institution_ids":["https://openalex.org/I27577105"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3445,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43171655,"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9958999752998352,"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":0.9958999752998352,"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/T12176","display_name":"Optimization and Packing Problems","score":0.9939000010490417,"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":0.9934999942779541,"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/grasp","display_name":"GRASP","score":0.9716347455978394},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.908977746963501},{"id":"https://openalex.org/keywords/greedy-randomized-adaptive-search-procedure","display_name":"Greedy randomized adaptive search procedure","score":0.7439486980438232},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6901440024375916},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5843619704246521},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4944624900817871},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46289578080177307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3786843419075012},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3770947754383087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17802944779396057}],"concepts":[{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.9716347455978394},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.908977746963501},{"id":"https://openalex.org/C126221529","wikidata":"https://www.wikidata.org/wiki/Q3116070","display_name":"Greedy randomized adaptive search procedure","level":3,"score":0.7439486980438232},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6901440024375916},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5843619704246521},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4944624900817871},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46289578080177307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3786843419075012},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3770947754383087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17802944779396057},{"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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cec55065.2022.9870264","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec55065.2022.9870264","pdf_url":null,"source":{"id":"https://openalex.org/S4363605353","display_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},{"id":"pmh:oai:cora.ucc.ie:10468/13773","is_oa":true,"landing_page_url":"http://hdl.handle.net/10468/13773","pdf_url":"https://cora.ucc.ie/bitstreams/6db39396-3e7f-47a8-8de7-d78fe74b4e71/download","source":{"id":"https://openalex.org/S4306401150","display_name":"Cork Open Research Archive (University College Cork, Ireland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210141138","host_organization_name":"APC Microbiome Institute","host_organization_lineage":["https://openalex.org/I4210141138"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference item"}],"best_oa_location":{"id":"pmh:oai:cora.ucc.ie:10468/13773","is_oa":true,"landing_page_url":"http://hdl.handle.net/10468/13773","pdf_url":"https://cora.ucc.ie/bitstreams/6db39396-3e7f-47a8-8de7-d78fe74b4e71/download","source":{"id":"https://openalex.org/S4306401150","display_name":"Cork Open Research Archive (University College Cork, Ireland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210141138","host_organization_name":"APC Microbiome Institute","host_organization_lineage":["https://openalex.org/I4210141138"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference item"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G2580158740","display_name":null,"funder_award_id":"SFI/16/RC/3918","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G5528571413","display_name":null,"funder_award_id":"SFI/16/RC/3918","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G6812376778","display_name":null,"funder_award_id":"SFI/16/RC/3918 (CONFIRM),847.577","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"},{"id":"https://openalex.org/G7601160464","display_name":null,"funder_award_id":"315750/2021-9","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G928497539","display_name":null,"funder_award_id":"16/RC/3918","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"},{"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/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294811694.pdf","grobid_xml":"https://content.openalex.org/works/W4294811694.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W98485236","https://openalex.org/W176475048","https://openalex.org/W1534948419","https://openalex.org/W1548369215","https://openalex.org/W1558319294","https://openalex.org/W1585610988","https://openalex.org/W1622693536","https://openalex.org/W1857789879","https://openalex.org/W1967029759","https://openalex.org/W1981816113","https://openalex.org/W1993717416","https://openalex.org/W2054804336","https://openalex.org/W2055379348","https://openalex.org/W2057923756","https://openalex.org/W2058278191","https://openalex.org/W2062480190","https://openalex.org/W2082844239","https://openalex.org/W2088150073","https://openalex.org/W2120470208","https://openalex.org/W2120572648","https://openalex.org/W2129794603","https://openalex.org/W2141119792","https://openalex.org/W2146763661","https://openalex.org/W2922094741","https://openalex.org/W2943782735","https://openalex.org/W2997776631","https://openalex.org/W3024588835","https://openalex.org/W3033538074","https://openalex.org/W4206533730","https://openalex.org/W4250845939","https://openalex.org/W4252684946","https://openalex.org/W4300417498","https://openalex.org/W6607270651","https://openalex.org/W6632818625","https://openalex.org/W6635035540","https://openalex.org/W6776565550","https://openalex.org/W7029236405"],"related_works":["https://openalex.org/W3135694647","https://openalex.org/W2541071804","https://openalex.org/W2094485034","https://openalex.org/W20026230","https://openalex.org/W4251926495","https://openalex.org/W2393373993","https://openalex.org/W2896014154","https://openalex.org/W4294811694","https://openalex.org/W2055379348","https://openalex.org/W982603479"],"abstract_inverted_index":{"The":[0],"hybridization":[1],"of":[2,17,20,28,44,82,104,108,144],"metaheuristics":[3,62,154],"with":[4,112,139],"data":[5,39,59,100],"mining":[6,40,101],"techniques":[7],"has":[8],"been":[9],"successfully":[10],"applied":[11],"to":[12,85,164],"combinatorial":[13,70],"optimization":[14,88,157],"problems.":[15],"Examples":[16],"this":[18,83,117],"type":[19,43,84],"strategy":[21],"are":[22,90],"DM-GRASP":[23],"and":[24,51,77,127,149],"MDM-GRASP,":[25],"hybrid":[26,45,102],"versions":[27],"the":[29,58,73,94,150,166],"Greedy":[30],"Randomized":[31],"Adaptive":[32],"Search":[33],"Procedure":[34],"(GRASP)":[35],"metaheuristic,":[36],"which":[37,121],"incorporate":[38],"techniques.":[41],"This":[42,96],"method":[46],"is":[47],"called":[48],"Data-Driven":[49],"Metaheuristics":[50],"aims":[52],"at":[53],"extracting":[54],"useful":[55],"knowledge":[56],"from":[57,161],"generated":[60],"by":[61,132],"in":[63,69,93,124],"their":[64],"search":[65,167],"process.":[66],"Despite":[67],"success":[68],"problems":[71,89,111],"like":[72],"set":[74,143],"packing":[75],"problem":[76],"maximum":[78],"diversity":[79],"problem,":[80],"proposals":[81],"solve":[86],"continuous":[87,113,156],"still":[91],"scarce":[92],"literature.":[95],"work":[97],"presents":[98],"a":[99,142],"version":[103,119],"C-GRASP,":[105],"an":[106],"adaptation":[107],"GRASP":[109],"for":[110,155,168],"variables.":[114],"We":[115,135],"call":[116],"new":[118,129],"DMC-GRASP,":[120],"identifies":[122],"patterns":[123,163],"high-quality":[125],"solutions":[126,130],"generates":[128],"guided":[131],"these":[133],"patterns.":[134],"performed":[136],"computational":[137],"experiments":[138],"DMC-GRASP":[140],"on":[141],"well-known":[145],"mathematical":[146],"benchmark":[147],"functions,":[148],"results":[151],"showed":[152],"that":[153],"could":[158],"also":[159],"benefit":[160],"using":[162],"guide":[165],"better":[169],"solutions.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}
