{"id":"https://openalex.org/W4294982534","doi":"https://doi.org/10.1109/tevc.2022.3205165","title":"Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis","display_name":"Informing Multiobjective Optimization Benchmark Construction Through Instance Space Analysis","publication_year":2022,"publication_date":"2022-09-08","ids":{"openalex":"https://openalex.org/W4294982534","doi":"https://doi.org/10.1109/tevc.2022.3205165"},"language":"en","primary_location":{"id":"doi:10.1109/tevc.2022.3205165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3205165","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","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/A5039518197","display_name":"Estefania Yap","orcid":"https://orcid.org/0000-0001-5197-0611"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Estefania Yap","raw_affiliation_strings":["OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058827753","display_name":"Mario Andr\u00e9s Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-7254-2808"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mario Andres Munoz","raw_affiliation_strings":["OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039491324","display_name":"Kate Smith\u2010Miles","orcid":"https://orcid.org/0000-0003-2718-7680"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Kate Smith-Miles","raw_affiliation_strings":["OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia"],"affiliations":[{"raw_affiliation_string":"OPTIMA and the School of Mathematics and Statistics, The University of Melbourne, Melbourne, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039518197"],"corresponding_institution_ids":["https://openalex.org/I165779595"],"apc_list":null,"apc_paid":null,"fwci":1.0227,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.79053009,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"26","issue":"6","first_page":"1246","last_page":"1260"},"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/T11053","display_name":"Process Optimization and Integration","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9857000112533569,"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/computer-science","display_name":"Computer science","score":0.7091373801231384},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7039059996604919},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5890195369720459},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5407862663269043},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5089044570922852},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4592542350292206},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43503034114837646},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4108562469482422},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3760971128940582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2848251760005951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28192198276519775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1909995973110199}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7091373801231384},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7039059996604919},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5890195369720459},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5407862663269043},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5089044570922852},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4592542350292206},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43503034114837646},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4108562469482422},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3760971128940582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2848251760005951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28192198276519775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1909995973110199},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","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:10.1109/tevc.2022.3205165","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tevc.2022.3205165","pdf_url":null,"source":{"id":"https://openalex.org/S93787993","display_name":"IEEE Transactions on Evolutionary Computation","issn_l":"1089-778X","issn":["1089-778X","1941-0026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Evolutionary Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G8156890963","display_name":null,"funder_award_id":"FL140100012","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W224959492","https://openalex.org/W815914887","https://openalex.org/W1495775210","https://openalex.org/W1497333074","https://openalex.org/W1503648602","https://openalex.org/W1508767046","https://openalex.org/W1510052597","https://openalex.org/W1522953854","https://openalex.org/W1588375755","https://openalex.org/W1766172370","https://openalex.org/W1967157470","https://openalex.org/W1971893679","https://openalex.org/W1974067209","https://openalex.org/W1991817987","https://openalex.org/W2005184489","https://openalex.org/W2018044188","https://openalex.org/W2020320008","https://openalex.org/W2044400415","https://openalex.org/W2056274416","https://openalex.org/W2063966510","https://openalex.org/W2071694551","https://openalex.org/W2071948161","https://openalex.org/W2073819677","https://openalex.org/W2102365077","https://openalex.org/W2106594283","https://openalex.org/W2108968575","https://openalex.org/W2116661285","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2127143521","https://openalex.org/W2140886193","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2147439787","https://openalex.org/W2150337126","https://openalex.org/W2152551290","https://openalex.org/W2342632173","https://openalex.org/W2432516117","https://openalex.org/W2466060750","https://openalex.org/W2481431776","https://openalex.org/W2513211214","https://openalex.org/W2517235705","https://openalex.org/W2587931174","https://openalex.org/W2764251381","https://openalex.org/W2890385709","https://openalex.org/W2898873842","https://openalex.org/W2946739419","https://openalex.org/W2961944721","https://openalex.org/W2963753818","https://openalex.org/W2973142703","https://openalex.org/W2994964425","https://openalex.org/W3015530485","https://openalex.org/W3038891809","https://openalex.org/W3046614096","https://openalex.org/W3083472394","https://openalex.org/W3123511746","https://openalex.org/W3130681086","https://openalex.org/W3135761440","https://openalex.org/W3173460653","https://openalex.org/W6635433731","https://openalex.org/W6717764351","https://openalex.org/W6726915861","https://openalex.org/W6771627385"],"related_works":["https://openalex.org/W4379115841","https://openalex.org/W2083794993","https://openalex.org/W1511772879","https://openalex.org/W3170750609","https://openalex.org/W2979471250","https://openalex.org/W2186315912","https://openalex.org/W2042205862","https://openalex.org/W3195664246","https://openalex.org/W2127898439","https://openalex.org/W2588591308"],"abstract_inverted_index":{"The":[0],"role":[1],"of":[2,41,69,90,100,122,204,213],"carefully":[3],"constructed":[4],"benchmark":[5],"suites":[6,21,51,73,136],"in":[7,108,139],"algorithm":[8],"design":[9],"and":[10,28,31,55,115,150,162],"testing":[11],"is":[12,52,84,169],"critical.":[13],"Within":[14],"the":[15,23,39,47,56,67,75,101,109,134,143,187,202,211,214],"continuous":[16,71],"multiobjective":[17,72],"optimization":[18],"domain,":[19],"existing":[20,50,102,175,183],"include":[22],"general":[24],"purpose":[25],"ZDT,":[26],"DTLZ,":[27],"WFG":[29],"suites,":[30],"more":[32],"recent":[33],"ones":[34],"specifically":[35],"designed":[36],"to":[37,86,124,171,200],"explore":[38],"impacts":[40],"a":[42,61,97],"particular":[43],"problem":[44,92,103,128,145,153,157,195],"characteristic.":[45],"However,":[46],"relationship":[48],"between":[49,182],"not":[53],"clear,":[54],"field":[57],"would":[58],"benefit":[59],"from":[60],"\u201cstock-take\u201d":[62],"assessment.":[63],"This":[64],"article":[65],"investigates":[66],"coverage":[68],"current":[70,135],"using":[74],"instance":[76,110,146,215],"space":[77],"analysis":[78,83],"(ISA)":[79],"methodology.":[80],"Exploratory":[81],"landscape":[82],"used":[85],"measure":[87],"critical":[88],"features":[89,196],"each":[91],"suite.":[93],"Thereafter,":[94],"we":[95,192],"generate":[96,172],"2-D":[98],"visualization":[99],"instances":[104],"by":[105,190],"locating":[106],"them":[107],"space,":[111],"assessing":[112],"their":[113],"diversity,":[114],"identifying":[116],"whether":[117],"there":[118],"are":[119,137],"sparse":[120],"areas":[121],"value":[123],"fill":[125,208],"with":[126],"new":[127,164,205],"instances.":[129],"Our":[130],"findings":[131],"show":[132,193],"that":[133],"restricted":[138],"diversity":[140],"when":[141],"representing":[142],"entire":[144],"space.":[147,216],"We":[148],"propose":[149],"evaluate":[151],"three":[152],"construction":[154],"methods:":[155],"1)":[156],"tuning;":[158],"2)":[159],"toolkit":[160],"hybridization;":[161],"3)":[163],"function":[165],"injection.":[166],"Problem":[167],"tuning":[168],"shown":[170],"problems":[173,180],"surrounding":[174],"instances,":[176],"while":[177],"hybridization":[178],"creates":[179],"falling":[181],"suites.":[184],"Furthermore,":[185],"utilizing":[186],"insights":[188],"afforded":[189],"ISA,":[191],"how":[194],"can":[197],"be":[198],"identified":[199],"inform":[201],"creation":[203],"functions":[206],"which":[207],"gaps":[209],"toward":[210],"boundaries":[212]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
