{"id":"https://openalex.org/W2559219782","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000643","title":"Adaptive Bilevel Approximation Technique for Multiobjective Evolutionary Optimization","display_name":"Adaptive Bilevel Approximation Technique for Multiobjective Evolutionary Optimization","publication_year":2016,"publication_date":"2016-11-28","ids":{"openalex":"https://openalex.org/W2559219782","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000643","mag":"2559219782"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000643","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000643","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-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/A5070379064","display_name":"Tanmoy Chatterjee","orcid":"https://orcid.org/0000-0002-9374-7992"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Tanmoy Chatterjee","raw_affiliation_strings":["Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India (corresponding author)","institution_ids":["https://openalex.org/I154851008"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042947686","display_name":"Rajib Chowdhury","orcid":"https://orcid.org/0000-0001-9026-8657"},"institutions":[{"id":"https://openalex.org/I154851008","display_name":"Indian Institute of Technology Roorkee","ror":"https://ror.org/00582g326","country_code":"IN","type":"education","lineage":["https://openalex.org/I154851008"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajib Chowdhury","raw_affiliation_strings":["Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Civil Engineering, Indian Institute of Technology Roorkee, Roorkee 247667, India","institution_ids":["https://openalex.org/I154851008"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5070379064"],"corresponding_institution_ids":["https://openalex.org/I154851008"],"apc_list":null,"apc_paid":null,"fwci":1.3041,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83779668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"31","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9926999807357788,"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/T10969","display_name":"Water resources management and optimization","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.7562958598136902},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6965442299842834},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5818871855735779},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5323330163955688},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.480893611907959},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4759770929813385},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.47034505009651184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47014501690864563},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.4683952331542969},{"id":"https://openalex.org/keywords/bilevel-optimization","display_name":"Bilevel optimization","score":0.430643230676651},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40290525555610657},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.35690838098526}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7562958598136902},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6965442299842834},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5818871855735779},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5323330163955688},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.480893611907959},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4759770929813385},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.47034505009651184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47014501690864563},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.4683952331542969},{"id":"https://openalex.org/C3309286","wikidata":"https://www.wikidata.org/wiki/Q4907693","display_name":"Bilevel optimization","level":3,"score":0.430643230676651},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40290525555610657},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35690838098526},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000643","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000643","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320295","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70"},{"id":"https://openalex.org/F4320322724","display_name":"Ministry of Education, India","ror":"https://ror.org/048xjjh50"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W19347916","https://openalex.org/W65621196","https://openalex.org/W1504943474","https://openalex.org/W1544309315","https://openalex.org/W1558919105","https://openalex.org/W1585939719","https://openalex.org/W1587294773","https://openalex.org/W1595498733","https://openalex.org/W1821310684","https://openalex.org/W1963568649","https://openalex.org/W1966813174","https://openalex.org/W1969373275","https://openalex.org/W1971893679","https://openalex.org/W1981565028","https://openalex.org/W1984849042","https://openalex.org/W1991515885","https://openalex.org/W2000825106","https://openalex.org/W2007535697","https://openalex.org/W2011174137","https://openalex.org/W2012451526","https://openalex.org/W2013596835","https://openalex.org/W2013695155","https://openalex.org/W2014715727","https://openalex.org/W2016633767","https://openalex.org/W2017818133","https://openalex.org/W2018044188","https://openalex.org/W2027120741","https://openalex.org/W2042925520","https://openalex.org/W2053313344","https://openalex.org/W2060833676","https://openalex.org/W2064903049","https://openalex.org/W2070811617","https://openalex.org/W2071960131","https://openalex.org/W2078035571","https://openalex.org/W2082228576","https://openalex.org/W2090711451","https://openalex.org/W2109544808","https://openalex.org/W2109880321","https://openalex.org/W2116661285","https://openalex.org/W2121250608","https://openalex.org/W2126105956","https://openalex.org/W2145475762","https://openalex.org/W2146446525","https://openalex.org/W2160895881","https://openalex.org/W2223806373","https://openalex.org/W2234842157","https://openalex.org/W2265470253","https://openalex.org/W2271358274","https://openalex.org/W2275624528","https://openalex.org/W2281071434","https://openalex.org/W2443678480","https://openalex.org/W2463791362","https://openalex.org/W2469362326","https://openalex.org/W2963403738","https://openalex.org/W2964075504","https://openalex.org/W2995161752","https://openalex.org/W3126133291","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2550138382","https://openalex.org/W49841733","https://openalex.org/W1994436307","https://openalex.org/W2090178682","https://openalex.org/W3040982696","https://openalex.org/W2235689181","https://openalex.org/W1994686097","https://openalex.org/W2906115061","https://openalex.org/W2073147994","https://openalex.org/W2977596624"],"abstract_inverted_index":{"The":[0,150],"computational":[1,25,219],"intensiveness":[2],"of":[3,14,50,102,125,131,142,173,183,201,216],"evolutionary":[4],"algorithms":[5],"(EAs)":[6],"in":[7,114,146,168,214],"dealing":[8],"with":[9,28,38,72,180,205],"large-scale":[10],"problems":[11,71],"has":[12,82,96,195],"been":[13,83,97,178,196],"great":[15],"concern":[16],"over":[17],"the":[18,24,39,51,100,122,126,174,181,202,222],"years.":[19],"In":[20],"order":[21],"to":[22,62,85,163],"reduce":[23],"burden":[26],"associated":[27],"EAs":[29],"initially,":[30],"an":[31,47],"anchored":[32,91,103,119],"ANOVA":[33,92,104,120,164],"decomposition":[34,93,105],"model":[35,127,204],"was":[36,58],"integrated":[37],"elitist":[40],"nondominated":[41],"sorting":[42],"genetic":[43],"algorithm":[44],"(NSGA-II).":[45],"Later,":[46],"improved":[48],"version":[49],"former":[52],"framework,":[53],"a":[54,116,129,140,147,189,208],"novel":[55],"approximation":[56],"technique":[57],"developed":[59,98],"and":[60,74,106,134,188,207,218],"specialized":[61],"solve":[63],"typical":[64],"case":[65],"scenarios":[66],"often":[67],"encountered,":[68],"such":[69,115],"as":[70,86,139,161],"nonconvex":[73],"disconnected":[75],"Pareto":[76],"optimal":[77],"fronts.":[78],"This":[79],"proposed":[80,175,223],"tool":[81],"referred":[84],"adaptive":[87],"bilevel":[88],"error-sensitivity":[89],"based":[90],"(ABE-ANOVA).":[94],"ABE-ANOVA":[95,154],"by":[99,198],"amalgamation":[101],"Gaussian":[107],"process":[108],"(GP)":[109],"model.":[110],"They":[111],"are":[112],"coupled":[113],"way":[117],"that":[118,153],"handles":[121],"global":[123],"behavior":[124],"using":[128],"set":[130],"component":[132],"functions":[133],"GP":[135],"interpolates":[136],"local":[137],"variations":[138],"function":[141],"sample":[143],"points,":[144],"resulting":[145],"two-level":[148],"approximation.":[149],"study":[151],"proves":[152],"assisted":[155,165],"NSGA-II":[156,206],"is":[157],"much":[158],"more":[159],"robust":[160],"compared":[162],"NSGA-II,":[166],"especially":[167],"handling":[169],"complex":[170],"scenarios.":[171],"Implementation":[172],"approaches":[176],"have":[177],"demonstrated":[179],"help":[182],"several":[184],"multiobjective":[185],"analytical":[186],"examples":[187],"few":[190,209],"finite":[191],"element":[192],"problems.":[193],"Performance":[194],"assessed":[197],"comparing":[199],"simulation":[200],"actual":[203],"other":[210],"algorithms.":[211],"Excellent":[212],"results":[213],"terms":[215],"accuracy":[217],"effort":[220],"makes":[221],"method":[224],"potential":[225],"for":[226],"real-time":[227],"applications.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
