{"id":"https://openalex.org/W2897170223","doi":"https://doi.org/10.1109/cec.2018.8477931","title":"Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning","display_name":"Decomposition Based Multi-Objective Evolutionary Algorithm in XCS for Multi-Objective Reinforcement Learning","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2897170223","doi":"https://doi.org/10.1109/cec.2018.8477931","mag":"2897170223"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2018.8477931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033631001","display_name":"Xiu Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Xiu Cheng","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065533636","display_name":"Will N. Browne","orcid":"https://orcid.org/0000-0001-8979-2224"},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Will N. Browne","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]},{"author_position":"last","author":{"id":null,"display_name":"Mengjie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I41156924","display_name":"Victoria University of Wellington","ror":"https://ror.org/0040r6f76","country_code":"NZ","type":"education","lineage":["https://openalex.org/I41156924"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Mengjie Zhang","raw_affiliation_strings":["School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand","institution_ids":["https://openalex.org/I41156924"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41156924"],"apc_list":null,"apc_paid":null,"fwci":0.4527,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67476167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9991999864578247,"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":0.9991999864578247,"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/T11663","display_name":"Viral Infectious Diseases and Gene Expression in Insects","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9815000295639038,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8704580068588257},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6193192601203918},{"id":"https://openalex.org/keywords/learning-classifier-system","display_name":"Learning classifier system","score":0.6116467714309692},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5767091512680054},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5395140051841736},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5272219181060791},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5228093862533569},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5009801387786865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4911453425884247},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4873109757900238},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.45837026834487915},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4425602853298187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23627763986587524}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8704580068588257},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6193192601203918},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.6116467714309692},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5767091512680054},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5395140051841736},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5272219181060791},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5228093862533569},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5009801387786865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4911453425884247},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4873109757900238},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.45837026834487915},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4425602853298187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23627763986587524},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2018.8477931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2018.8477931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1521089255","https://openalex.org/W2008499862","https://openalex.org/W2011523679","https://openalex.org/W2022586794","https://openalex.org/W2031811237","https://openalex.org/W2051612792","https://openalex.org/W2052153221","https://openalex.org/W2087376002","https://openalex.org/W2143381319","https://openalex.org/W2150046657","https://openalex.org/W2151676061","https://openalex.org/W2157838568","https://openalex.org/W2184721046","https://openalex.org/W2198766081","https://openalex.org/W2493109494","https://openalex.org/W2557694176","https://openalex.org/W6652304802","https://openalex.org/W6663399104","https://openalex.org/W6730134056"],"related_works":["https://openalex.org/W1966456942","https://openalex.org/W2090178682","https://openalex.org/W2754028433","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W3148138296","https://openalex.org/W2145877535"],"abstract_inverted_index":{"Learning":[0,11,59],"Classifier":[1],"Systems":[2],"(LCSs)":[3],"have":[4,16],"been":[5,33,123],"widely":[6],"used":[7,36],"to":[8,53,56,80,90,97,107,114,145,170],"tackle":[9],"Reinforcement":[10,58],"(RL)":[12],"problems":[13,44,139,155],"as":[14],"they":[15],"a":[17,23,85,99,118,147],"good":[18],"generalization":[19],"ability":[20],"and":[21,128],"provide":[22],"simple":[24],"understandable":[25],"rule-based":[26],"solution.":[27],"The":[28,130],"accuracy-based":[29],"LCS,":[30],"XCS,":[31],"has":[32,51,122],"most":[34],"popularly":[35],"for":[37,153],"single-objective":[38],"RL":[39],"problems.":[40],"As":[41],"many":[42,63],"real-world":[43],"exhibit":[45],"multiple":[46,88,91],"conflicting":[47],"objectives":[48],"recent":[49],"work":[50],"sought":[52],"adapt":[54],"XCS":[55,106,127],"Multi-Objective":[57],"(MORL)":[60],"tasks.":[61],"However,":[62],"of":[64,83,149,160,176],"these":[65],"algorithms":[66],"need":[67],"large":[68],"storage":[69],"or":[70],"cannot":[71],"discover":[72],"the":[73,81,161,168,171,174],"Pareto":[74,110,150],"Optimal":[75],"solutions.":[76],"This":[77,94],"is":[78,143],"due":[79],"complexity":[82],"finding":[84],"policy":[86],"having":[87],"steps":[89],"possible":[92],"objectives.":[93],"paper":[95],"aims":[96],"employ":[98],"decomposition":[100],"strategy":[101],"based":[102,125],"on":[103,126,135],"MOEA/D":[104],"in":[105],"approximate":[108],"complex":[109,136],"Fronts.":[111],"In":[112],"order":[113],"achieve":[115],"multi-objective":[116],"learning,":[117],"new":[119],"MORL":[120,141,154],"algorithm":[121,142],"developed":[124],"MOEA/D.":[129],"experimental":[131],"results":[132],"show":[133],"that":[134],"bi-objective":[137],"maze":[138],"our":[140],"able":[144],"learn":[146],"group":[148],"optimal":[151],"solutions":[152],"without":[156],"huge":[157],"storage.":[158],"Analysis":[159],"learned":[162],"policies":[163],"shows":[164],"successful":[165],"trade-offs":[166],"between":[167],"distance":[169],"reward":[172,177],"versus":[173],"amount":[175],"itself.":[178]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
