{"id":"https://openalex.org/W2155035377","doi":"https://doi.org/10.1145/2576768.2598271","title":"Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems","display_name":"Steady state IBEA assisted by MLP neural networks for expensive multi-objective optimization problems","publication_year":2014,"publication_date":"2014-07-11","ids":{"openalex":"https://openalex.org/W2155035377","doi":"https://doi.org/10.1145/2576768.2598271","mag":"2155035377"},"language":"en","primary_location":{"id":"doi:10.1145/2576768.2598271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","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/A5015003414","display_name":"Nessrine Azzouz","orcid":null},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Nessrine Azzouz","raw_affiliation_strings":["SOIE lab, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"SOIE lab, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080575230","display_name":"Slim Bechikh","orcid":"https://orcid.org/0000-0003-1378-7415"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Slim Bechikh","raw_affiliation_strings":["SOIE lab, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"SOIE lab, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028612749","display_name":"Lamjed Ben Sa\u00efd","orcid":"https://orcid.org/0000-0001-9225-884X"},"institutions":[{"id":"https://openalex.org/I108714496","display_name":"Tunis University","ror":"https://ror.org/02q1spa57","country_code":"TN","type":"education","lineage":["https://openalex.org/I108714496"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Lamjed Ben Said","raw_affiliation_strings":["SOIE lab, University of Tunis, Tunis, Tunisia"],"affiliations":[{"raw_affiliation_string":"SOIE lab, University of Tunis, Tunis, Tunisia","institution_ids":["https://openalex.org/I108714496"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5015003414"],"corresponding_institution_ids":["https://openalex.org/I108714496"],"apc_list":null,"apc_paid":null,"fwci":3.2047,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.92314344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"581","last_page":"588"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":1.0,"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":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9937000274658203,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6937299370765686},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6065348386764526},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5167936086654663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5040603876113892},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.491176575422287},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4372006356716156},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4339451789855957},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4307110607624054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4260074496269226},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42326849699020386},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3475053310394287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3449927568435669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23463299870491028}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6937299370765686},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6065348386764526},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5167936086654663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5040603876113892},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.491176575422287},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4372006356716156},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4339451789855957},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4307110607624054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4260074496269226},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42326849699020386},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3475053310394287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3449927568435669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23463299870491028},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2576768.2598271","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2576768.2598271","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Annual Conference on Genetic and Evolutionary Computation","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/W71960263","https://openalex.org/W119428382","https://openalex.org/W152282416","https://openalex.org/W192384649","https://openalex.org/W193321262","https://openalex.org/W1595498733","https://openalex.org/W1805329544","https://openalex.org/W1846834309","https://openalex.org/W1961183092","https://openalex.org/W1965741506","https://openalex.org/W1988172693","https://openalex.org/W1994665973","https://openalex.org/W2012451526","https://openalex.org/W2013695155","https://openalex.org/W2067923752","https://openalex.org/W2098907614","https://openalex.org/W2105245738","https://openalex.org/W2125899728","https://openalex.org/W2136918060","https://openalex.org/W2166739626"],"related_works":["https://openalex.org/W1629725936","https://openalex.org/W4288754364","https://openalex.org/W2753754628","https://openalex.org/W3174049743","https://openalex.org/W3199905569","https://openalex.org/W3017661711","https://openalex.org/W2768478912","https://openalex.org/W2068310053","https://openalex.org/W4308734192","https://openalex.org/W4313524459"],"abstract_inverted_index":{"Several":[0,33],"engineering":[1],"problems":[2,169],"involve":[3],"simultaneously":[4],"several":[5],"objective":[6,66],"functions":[7],"where":[8],"at":[9],"least":[10],"one":[11],"of":[12,26,48,110,116,153,167],"them":[13],"is":[14,92],"expensive":[15,31,49,65,87],"to":[16,22,44,85,93,106,125,145,172],"evaluate.":[17],"This":[18],"fact":[19],"has":[20],"yielded":[21],"a":[23,82,150,165],"new":[24,83],"class":[25],"Multi-Objective":[27],"Problems":[28],"(MOPs)":[29],"called":[30,134],"MOPs.":[32,88],"attempts":[34],"have":[35,142],"been":[36,143],"conducted":[37],"in":[38,104,114,170],"the":[39,42,46,57,64,74,99,108,126,159,173],"literature":[40],"with":[41,123,149],"goal":[43],"minimize":[45],"number":[47,152],"evaluations":[50,155],"by":[51,69],"using":[52],"surrogate":[53],"models":[54],"stemming":[55],"from":[56,73],"machine":[58],"learning":[59],"field.":[60],"Usually,":[61],"researchers":[62],"substitute":[63],"function":[67,154],"evaluation":[68],"an":[70],"estimation":[71],"drawn":[72],"used":[75],"surrogate.":[76],"In":[77],"this":[78],"paper,":[79],"we":[80],"propose":[81],"way":[84],"tackle":[86],"The":[89],"main":[90],"idea":[91],"use":[94],"Neural":[95],"Networks":[96,137],"(NNs)":[97],"within":[98],"Indicator-Based":[100],"Evolutionary":[101],"Algorithm":[102],"(IBEA)":[103],"order":[105],"estimate":[107],"contribution":[109],"each":[111],"generated":[112],"offspring":[113],"terms":[115],"hypervolume.":[117],"After":[118],"that,":[119],"only":[120],"fit":[121],"individuals":[122],"respect":[124],"estimations":[127],"are":[128],"exactly":[129],"evaluated.":[130],"Our":[131],"proposed":[132],"algorithm":[133],"NN-SS-IBEA":[135],"(Neural":[136],"assisted":[138],"Steady":[139],"State":[140],"IBEA)":[141],"demonstrated":[144],"provide":[146],"good":[147],"performance":[148],"low":[151],"when":[156],"compared":[157],"against":[158],"original":[160],"IBEA":[161],"and":[162],"MOEA/D-RBF":[163],"on":[164],"set":[166],"benchmark":[168],"addition":[171],"airfoil":[174],"design":[175],"problem.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
