{"id":"https://openalex.org/W2625168037","doi":"https://doi.org/10.1145/3055635.3056613","title":"Optimising the Meta-Optimiser in Machine Learning Problems","display_name":"Optimising the Meta-Optimiser in Machine Learning Problems","publication_year":2017,"publication_date":"2017-02-24","ids":{"openalex":"https://openalex.org/W2625168037","doi":"https://doi.org/10.1145/3055635.3056613","mag":"2625168037"},"language":"en","primary_location":{"id":"doi:10.1145/3055635.3056613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","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/A5031458724","display_name":"Michel Camilleri","orcid":"https://orcid.org/0000-0002-7029-429X"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":true,"raw_author_name":"Michel Camilleri","raw_affiliation_strings":["University of Malta, Malta"],"affiliations":[{"raw_affiliation_string":"University of Malta, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026132957","display_name":"Matthew Montebello","orcid":"https://orcid.org/0000-0002-6177-7548"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Matthew Montebello","raw_affiliation_strings":["University of Malta, Malta"],"affiliations":[{"raw_affiliation_string":"University of Malta, Malta","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5031458724"],"corresponding_institution_ids":["https://openalex.org/I197854408"],"apc_list":null,"apc_paid":null,"fwci":0.195,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60503212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9998000264167786,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9958999752998352,"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":0.9925000071525574,"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":0.7643583416938782},{"id":"https://openalex.org/keywords/crossover","display_name":"Crossover","score":0.7361787557601929},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.7242191433906555},{"id":"https://openalex.org/keywords/meta-heuristic","display_name":"Meta heuristic","score":0.7211646437644958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6821599006652832},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6233714818954468},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5371898412704468},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5199371576309204},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4832611680030823},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42161205410957336},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23351547122001648},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07213568687438965}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7643583416938782},{"id":"https://openalex.org/C122507166","wikidata":"https://www.wikidata.org/wiki/Q628906","display_name":"Crossover","level":2,"score":0.7361787557601929},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.7242191433906555},{"id":"https://openalex.org/C2988037039","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Meta heuristic","level":2,"score":0.7211646437644958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6821599006652832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6233714818954468},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5371898412704468},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5199371576309204},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4832611680030823},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42161205410957336},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23351547122001648},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07213568687438965},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3055635.3056613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3055635.3056613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W117016907","https://openalex.org/W179289861","https://openalex.org/W332481212","https://openalex.org/W1519597478","https://openalex.org/W1585839838","https://openalex.org/W1955456092","https://openalex.org/W1991845685","https://openalex.org/W2095537056","https://openalex.org/W2102539288","https://openalex.org/W2133990480","https://openalex.org/W2151554678","https://openalex.org/W2153380237","https://openalex.org/W2165607334","https://openalex.org/W2167467747","https://openalex.org/W2264025958","https://openalex.org/W2521252293","https://openalex.org/W2532573175","https://openalex.org/W2620745595","https://openalex.org/W2950680102","https://openalex.org/W3023540311","https://openalex.org/W3120740533"],"related_works":["https://openalex.org/W2347477706","https://openalex.org/W1943663474","https://openalex.org/W4299389082","https://openalex.org/W2306830238","https://openalex.org/W2110294633","https://openalex.org/W1829715381","https://openalex.org/W2102514425","https://openalex.org/W2014162767","https://openalex.org/W4310120240","https://openalex.org/W2625168037"],"abstract_inverted_index":{"The":[0,70],"improvement":[1],"of":[2,21,50,57,77,89,92,102,122],"machine":[3,103,127,143],"learning":[4,104,144],"algorithm":[5],"performance":[6,121],"can":[7],"be":[8],"achieved":[9],"via":[10],"the":[11,14,48,55,60,67,75,87,90,110,119,123,135],"search":[12],"across":[13],"algorithm's":[15],"parameter":[16],"space":[17],"by":[18],"a":[19,78,100,126],"number":[20],"meta-heuristic":[22],"based":[23,83],"optimisation":[24,43,68,145],"techniques":[25],"or":[26,158],"meta-optimisers.":[27],"These":[28],"meta-optimisers":[29],"vary":[30],"in":[31,63],"their":[32],"approach":[33,85],"and":[34,53,86,96,106],"have":[35,154],"been":[36],"shown":[37],"to":[38,65],"perform":[39],"differently":[40],"on":[41,99,118,134],"various":[42],"problems.":[44],"This":[45,138],"paper":[46],"takes":[47],"concept":[49],"meta-optimisation":[51,84],"further":[52],"explores":[54],"potential":[56],"fine":[58],"tuning":[59],"meta-optimiser":[61,129],"itself":[62],"order":[64],"improve":[66],"process.":[69],"study":[71],"is":[72,140],"centered":[73],"around":[74],"use":[76],"Simple":[79],"Genetic":[80],"Algorithm":[81],"(SGA)":[82],"measurement":[88],"effect":[91,117],"changing":[93],"its":[94],"mutation":[95],"crossover":[97],"rates":[98],"set":[101],"algorithms":[105],"standard":[107],"datasets.":[108],"Although":[109],"results":[111],"did":[112],"not":[113],"evidence":[114],"any":[115],"significant":[116,132],"overall":[120],"SGA":[124],"as":[125],"learner":[128],"they":[130],"showed":[131],"effects":[133],"SGA's":[136],"efficiency.":[137],"discovery":[139],"beneficial":[141],"for":[142],"problems,":[146],"particularly":[147],"those":[148],"that":[149],"require":[150],"high":[151],"processing":[152],"costs,":[153],"low":[155],"computational":[156],"budgets":[157],"both.":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
