{"id":"https://openalex.org/W2967072703","doi":"https://doi.org/10.1109/cec.2019.8790026","title":"Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution","display_name":"Hyper-Parameter Optimization for Improving the Performance of Grammatical Evolution","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967072703","doi":"https://doi.org/10.1109/cec.2019.8790026","mag":"2967072703"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 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/A5101533496","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0003-2129-2148"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Hao Wang","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048595159","display_name":"Yitan Lou","orcid":null},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Yitan Lou","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062646838","display_name":"Thomas B\u00e4ck","orcid":"https://orcid.org/0000-0001-6768-1478"},"institutions":[{"id":"https://openalex.org/I121797337","display_name":"Leiden University","ror":"https://ror.org/027bh9e22","country_code":"NL","type":"education","lineage":["https://openalex.org/I121797337"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Thomas Back","raw_affiliation_strings":["LIACS, Leiden University, Leiden, The Netherlands"],"affiliations":[{"raw_affiliation_string":"LIACS, Leiden University, Leiden, The Netherlands","institution_ids":["https://openalex.org/I121797337"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101533496"],"corresponding_institution_ids":["https://openalex.org/I121797337"],"apc_list":null,"apc_paid":null,"fwci":0.42,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70833467,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"2649","last_page":"2656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9750000238418579,"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/grammatical-evolution","display_name":"Grammatical evolution","score":0.9390594959259033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6363586187362671},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5822720527648926},{"id":"https://openalex.org/keywords/symbolic-regression","display_name":"Symbolic regression","score":0.5778632164001465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5368080735206604},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5024371147155762},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4831237494945526},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4822462499141693},{"id":"https://openalex.org/keywords/evolution-strategy","display_name":"Evolution strategy","score":0.4600967764854431},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4230094254016876},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4139738082885742},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.3788735270500183},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2558729946613312}],"concepts":[{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.9390594959259033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6363586187362671},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5822720527648926},{"id":"https://openalex.org/C2776400721","wikidata":"https://www.wikidata.org/wiki/Q18171762","display_name":"Symbolic regression","level":3,"score":0.5778632164001465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5368080735206604},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5024371147155762},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4831237494945526},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4822462499141693},{"id":"https://openalex.org/C207002847","wikidata":"https://www.wikidata.org/wiki/Q2912857","display_name":"Evolution strategy","level":3,"score":0.4600967764854431},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4230094254016876},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4139738082885742},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.3788735270500183},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2558729946613312},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790026","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","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":20,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W1510052597","https://openalex.org/W1559956479","https://openalex.org/W1593481303","https://openalex.org/W1975904784","https://openalex.org/W1979328769","https://openalex.org/W2040492000","https://openalex.org/W2117643431","https://openalex.org/W2121162457","https://openalex.org/W2134343654","https://openalex.org/W2141119792","https://openalex.org/W2296218809","https://openalex.org/W2556522401","https://openalex.org/W2604662548","https://openalex.org/W2773031903","https://openalex.org/W2897375082","https://openalex.org/W2963815651","https://openalex.org/W3120740533","https://openalex.org/W4243645092","https://openalex.org/W6730169791"],"related_works":["https://openalex.org/W2381504162","https://openalex.org/W1567571923","https://openalex.org/W2472646430","https://openalex.org/W2968285896","https://openalex.org/W3006865984","https://openalex.org/W2003947101","https://openalex.org/W2897801744","https://openalex.org/W2176963978","https://openalex.org/W2967546367","https://openalex.org/W2091246427"],"abstract_inverted_index":{"State-of-the-art":[0],"Grammatical":[1,59],"Evolution":[2,60],"systems":[3],"such":[4],"as":[5],"PonyGE2":[6],"have":[7],"a":[8,30],"number":[9],"of":[10,16,25,32,45,84,97],"hyper-parameters":[11,44],"that":[12,80],"control":[13],"the":[14,17,23,33,46,58,72,81,85,98,103,113],"behavior":[15],"internal":[18],"evolutionary":[19],"algorithm":[20,38],"for":[21,41],"evolving":[22],"representations":[24],"programs.":[26],"In":[27,101],"this":[28],"paper,":[29],"variant":[31],"efficient":[34],"global":[35],"optimization":[36],"(EGO)":[37],"is":[39,50,88],"applied":[40],"optimizing":[42],"these":[43],"PonyGE2-system.":[47],"This":[48],"approach":[49],"tested":[51],"on":[52,95],"four":[53],"test":[54,99],"problems":[55],"used":[56,115],"in":[57,116],"community:":[61],"StringMatch,":[62],"symbolic":[63],"regression":[64],"(the":[65],"`Vladislavleva-4'":[66],"problem),":[67],"bank":[68],"note":[69],"classification":[70],"and":[71,93],"so-called":[73],"Pymax":[74],"task.":[75],"The":[76],"experimental":[77],"results":[78],"show":[79],"average":[82],"performance":[83],"GE":[86],"system":[87],"improved":[89],"significantly":[90],"(between":[91],"25%":[92],"168%)":[94],"all":[96],"problems.":[100],"addition,":[102],"resulting":[104],"overall":[105],"best":[106],"hyper-parameter":[107],"settings":[108],"are":[109],"substantially":[110],"different":[111],"from":[112],"defaults":[114],"PonyGE2.":[117]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
