{"id":"https://openalex.org/W4411600179","doi":"https://doi.org/10.1109/cec65147.2025.11042957","title":"Integrating Active Learning for Improved Preference Modeling in Tree-Based Interactive Evolutionary Multi-Objective Algorithms","display_name":"Integrating Active Learning for Improved Preference Modeling in Tree-Based Interactive Evolutionary Multi-Objective Algorithms","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600179","doi":"https://doi.org/10.1109/cec65147.2025.11042957"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11042957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/A5025471580","display_name":"Seyed Mahdi Shavarani","orcid":"https://orcid.org/0000-0002-3316-1252"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Seyed Mahdi Shavarani","raw_affiliation_strings":["Kent Business School University of Kent,Centre for Logistics & Sustainability Analytics,UK"],"affiliations":[{"raw_affiliation_string":"Kent Business School University of Kent,Centre for Logistics & Sustainability Analytics,UK","institution_ids":["https://openalex.org/I20581793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040316251","display_name":"Mahmoud Golabi","orcid":"https://orcid.org/0000-0002-3314-2051"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mahmoud Golabi","raw_affiliation_strings":["IRIMAS UR 7499 University of Haute-Alsace,Mulhouse,France,F-68100"],"affiliations":[{"raw_affiliation_string":"IRIMAS UR 7499 University of Haute-Alsace,Mulhouse,France,F-68100","institution_ids":["https://openalex.org/I2800745255"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077151661","display_name":"Lhassane Idoumghar","orcid":"https://orcid.org/0000-0001-8853-3968"},"institutions":[{"id":"https://openalex.org/I2800745255","display_name":"Universit\u00e9 de Haute-Alsace","ror":"https://ror.org/04k8k6n84","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800745255"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lhassane Idoumghar","raw_affiliation_strings":["IRIMAS UR 7499 University of Haute-Alsace,Mulhouse,France,F-68100"],"affiliations":[{"raw_affiliation_string":"IRIMAS UR 7499 University of Haute-Alsace,Mulhouse,France,F-68100","institution_ids":["https://openalex.org/I2800745255"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025471580"],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1855227,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.980400025844574,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.980400025844574,"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"}},{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9509999752044678,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9485999941825867,"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":0.7352124452590942},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5624426603317261},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5317484140396118},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5016477108001709},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4905044436454773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47587481141090393},{"id":"https://openalex.org/keywords/active-learning","display_name":"Active learning (machine learning)","score":0.43583914637565613},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3655049204826355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32617250084877014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1418273150920868}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352124452590942},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5624426603317261},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5317484140396118},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5016477108001709},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4905044436454773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47587481141090393},{"id":"https://openalex.org/C77967617","wikidata":"https://www.wikidata.org/wiki/Q4677561","display_name":"Active learning (machine learning)","level":2,"score":0.43583914637565613},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3655049204826355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32617250084877014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1418273150920868},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11042957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11042957","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":30,"referenced_works":["https://openalex.org/W152816993","https://openalex.org/W1510270533","https://openalex.org/W1995875735","https://openalex.org/W2008952656","https://openalex.org/W2010583686","https://openalex.org/W2040622444","https://openalex.org/W2042810459","https://openalex.org/W2045351538","https://openalex.org/W2056624909","https://openalex.org/W2073176752","https://openalex.org/W2074921660","https://openalex.org/W2090235798","https://openalex.org/W2101234009","https://openalex.org/W2102365077","https://openalex.org/W2107853397","https://openalex.org/W2127950596","https://openalex.org/W2133787071","https://openalex.org/W2606395562","https://openalex.org/W2808124586","https://openalex.org/W2883572891","https://openalex.org/W3172388956","https://openalex.org/W4230507407","https://openalex.org/W4235967258","https://openalex.org/W4315606174","https://openalex.org/W4323643777","https://openalex.org/W4400762160","https://openalex.org/W6640255469","https://openalex.org/W6686604339","https://openalex.org/W6763665246","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2090624569","https://openalex.org/W4252225730","https://openalex.org/W4381329258","https://openalex.org/W2090638348","https://openalex.org/W2181148280","https://openalex.org/W2891635047","https://openalex.org/W2368374794","https://openalex.org/W1974077268","https://openalex.org/W2392111542","https://openalex.org/W2097219848"],"abstract_inverted_index":{"Multi-objective":[0],"optimization":[1,111],"problems":[2],"are":[3,44,124],"characterized":[4],"by":[5,105,154],"conflicting":[6],"objectives,":[7],"making":[8],"it":[9,168],"impossible":[10],"to":[11,21,47,92,113,117,126],"identify":[12],"a":[13,23,60,156,176],"single":[14],"optimal":[15,31,97],"solution.":[16,71],"Instead,":[17],"solution":[18,177],"methods":[19,133,148],"aim":[20],"produce":[22],"diverse":[24],"set":[25],"of":[26,52,57,81,119,159,172,217],"non-dominated":[27],"solutions,":[28,32],"aka":[29],"Pareto":[30,96,121],"each":[33],"offering":[34,224],"different":[35],"tradeoffs":[36],"among":[37],"the":[38,55,68,79,95,110,115,120,127,170,215],"objectives.":[39],"Evolutionary":[40],"multi-objective":[41,230],"algorithms":[42],"(EMOAs)":[43],"commonly":[45],"employed":[46],"generate":[48],"these":[49],"varied":[50],"sets":[51],"solutions.":[53],"However,":[54],"abundance":[56],"solutions":[58,91],"presents":[59],"significant":[61],"challenge":[62,104],"for":[63,149,180,220,228],"decision-makers":[64],"(DMs)":[65],"in":[66,152,195],"identifying":[67],"most":[69],"preferred":[70],"The":[72],"problem":[73],"becomes":[74],"even":[75],"more":[76,86,90,225],"pronounced":[77],"as":[78,175],"number":[80],"objectives":[82],"increases,":[83],"requiring":[84],"exponentially":[85],"computational":[87],"resources":[88],"and":[89,139,163],"properly":[93],"represent":[94],"set.":[98],"Interactive":[99],"EMOAs":[100],"(iEMOAs)":[101],"mitigate":[102],"this":[103],"integrating":[106,200],"DM":[107,141,197],"preferences":[108],"into":[109],"process":[112],"limit":[114],"search":[116],"regions":[118],"front":[122],"that":[123,187],"interesting":[125],"DM.":[128],"Despite":[129],"their":[130],"advantages,":[131],"existing":[132],"often":[134],"struggle":[135],"with":[136],"effectively":[137],"learning":[138,147,174,196,202,205,219],"utilizing":[140],"preferences.":[142,198],"This":[143],"study":[144],"investigates":[145],"tree-based":[146],"preference":[150,182,204],"modeling":[151],"iEMOAs":[153],"conducting":[155],"systematic":[157],"comparison":[158],"decision":[160],"trees":[161],"(DTs)":[162],"random":[164],"forests":[165],"(RFs).":[166],"Additionally,":[167],"examines":[169],"impact":[171],"active":[173,201,218],"selection":[178],"strategy":[179],"improving":[181,209],"elicitation.":[183],"Experimental":[184],"results":[185],"demonstrate":[186],"RF":[188],"achieves":[189],"significantly":[190],"higher":[191],"accuracy":[192],"than":[193],"DT":[194],"Furthermore,":[199],"enhances":[203],"within":[206],"RF,":[207],"further":[208],"its":[210],"accuracy.":[211],"These":[212],"findings":[213],"highlight":[214],"potential":[216],"enhancing":[221],"preference-driven":[222],"optimization,":[223],"effective":[226],"strategies":[227],"interactive":[229],"decision-making.":[231]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}