{"id":"https://openalex.org/W4385220833","doi":"https://doi.org/10.1145/3583133.3596303","title":"Sequential Rule Mining for Automated Design of Meta-heuristics","display_name":"Sequential Rule Mining for Automated Design of Meta-heuristics","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385220833","doi":"https://doi.org/10.1145/3583133.3596303"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3596303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596303","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":true,"oa_status":"green","oa_url":"https://nottingham-repository.worktribe.com/preview/24123195/GECCO2023.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065651256","display_name":"Weiyao Meng","orcid":"https://orcid.org/0000-0002-8427-5620"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Weiyao Meng","raw_affiliation_strings":["Computer Science, University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Computer Science, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063920690","display_name":"Rong Qu","orcid":"https://orcid.org/0000-0001-8318-7509"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rong Qu","raw_affiliation_strings":["Computer Science, University of Nottingham, Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Computer Science, University of Nottingham, Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065651256"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":0.2074,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57294638,"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":"1727","last_page":"1735"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9994999766349792,"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":0.9994999766349792,"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/T10586","display_name":"Robotic Path Planning Algorithms","score":0.9929999709129333,"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"}},{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9905999898910522,"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/computer-science","display_name":"Computer science","score":0.8058377504348755},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7721246480941772},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5834611058235168},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4740455150604248},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3578192889690399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3430573344230652},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2588232755661011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8058377504348755},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7721246480941772},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5834611058235168},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4740455150604248},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3578192889690399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3430573344230652},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2588232755661011},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583133.3596303","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583133.3596303","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:nottingham-repository.worktribe.com:23488788","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/23488788","pdf_url":"https://nottingham-repository.worktribe.com/preview/24123195/GECCO2023.pdf","source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:nottingham-repository.worktribe.com:23488788","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/23488788","pdf_url":"https://nottingham-repository.worktribe.com/preview/24123195/GECCO2023.pdf","source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385220833.pdf","grobid_xml":"https://content.openalex.org/works/W4385220833.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W41322358","https://openalex.org/W63131150","https://openalex.org/W170728857","https://openalex.org/W1554727768","https://openalex.org/W1588856286","https://openalex.org/W1604118578","https://openalex.org/W1925566585","https://openalex.org/W1983829510","https://openalex.org/W1986254541","https://openalex.org/W1992961512","https://openalex.org/W2004617458","https://openalex.org/W2040003745","https://openalex.org/W2123488392","https://openalex.org/W2127125676","https://openalex.org/W2129021445","https://openalex.org/W2140344494","https://openalex.org/W2162508334","https://openalex.org/W2360114527","https://openalex.org/W2507635762","https://openalex.org/W2607817513","https://openalex.org/W3015862467","https://openalex.org/W3159134414","https://openalex.org/W3186437454","https://openalex.org/W4290734497"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W2130974462","https://openalex.org/W972276598"],"abstract_inverted_index":{"With":[0,56],"a":[1],"recently":[2],"defined":[3,14],"AutoGCOP":[4,82],"framework,":[5],"the":[6,16,19,27,57,80,97,103],"design":[7],"of":[8,18,34,64],"local":[9],"search":[10],"algorithms":[11,29,118],"can":[12],"be":[13],"as":[15],"composition":[17],"basic":[20,65,76,98],"elementary":[21],"algorithmic":[22,42,60,66,77,99],"components.":[23],"These":[24],"compositions":[25,43],"into":[26],"best":[28],"thus":[30],"retain":[31],"useful":[32],"knowledge":[33,52],"effective":[35,41,59,87],"algorithm":[36,54],"design.":[37,55],"This":[38],"paper":[39],"investigates":[40],"with":[44,108],"sequential":[45,62,90],"rule":[46],"mining":[47],"techniques":[48],"to":[49,73,84],"discover":[50],"valuable":[51],"in":[53,95,115],"collected":[58],"compositions,":[61],"rules":[63,91],"components":[67,78,100],"are":[68],"extracted":[69],"and":[70],"further":[71],"analysed":[72],"automatically":[74],"compose":[75],"within":[79],"general":[81],"framework":[83],"develop":[85],"new":[86,117],"meta-heuristics.":[88],"The":[89],"present":[92],"superior":[93],"performance":[94],"composing":[96],"for":[101],"solving":[102],"benchmark":[104],"vehicle":[105],"routing":[106],"problems":[107],"time":[109],"window":[110],"constraints,":[111],"demonstrating":[112],"its":[113],"effectiveness":[114],"designing":[116],"automatically.":[119]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}