{"id":"https://openalex.org/W4412106337","doi":"https://doi.org/10.1145/3712256.3726362","title":"Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results","display_name":"Addressing Heterogeneous Evaluation Times in Constrained Multi-Objective Optimization using a Mixed-Fidelity Evaluation Technique: Proof-of-Concept Results","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412106337","doi":"https://doi.org/10.1145/3712256.3726362"},"language":"en","primary_location":{"id":"doi:10.1145/3712256.3726362","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726362","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3712256.3726362","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026898503","display_name":"Balija Santoshkumar","orcid":"https://orcid.org/0000-0002-4829-148X"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Balija Santoshkumar","raw_affiliation_strings":["Michigan State University, East Lansing, USA"],"raw_orcid":"https://orcid.org/0000-0002-4829-148X","affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Michigan State University, East Lansing, USA"],"raw_orcid":"https://orcid.org/0000-0001-7402-9939","affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"645","last_page":"653"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/proof-of-concept","display_name":"Proof of concept","score":0.713620662689209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6953299045562744},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.6830935478210449},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34327787160873413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17228060960769653}],"concepts":[{"id":"https://openalex.org/C124978682","wikidata":"https://www.wikidata.org/wiki/Q1201019","display_name":"Proof of concept","level":2,"score":0.713620662689209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6953299045562744},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.6830935478210449},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34327787160873413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17228060960769653},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3712256.3726362","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726362","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3712256.3726362","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3712256.3726362","pdf_url":null,"source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1595498733","https://openalex.org/W2022485595","https://openalex.org/W2024008934","https://openalex.org/W2054640518","https://openalex.org/W2085507535","https://openalex.org/W2105245738","https://openalex.org/W2111526171","https://openalex.org/W2135879356","https://openalex.org/W2143381319","https://openalex.org/W2546299924","https://openalex.org/W2772079570","https://openalex.org/W2801550761","https://openalex.org/W2890351024","https://openalex.org/W2914106598","https://openalex.org/W2998757713","https://openalex.org/W3021855001","https://openalex.org/W3160862616","https://openalex.org/W4220722089","https://openalex.org/W4293224806","https://openalex.org/W4321359614","https://openalex.org/W4407201704","https://openalex.org/W4408063413"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345"],"abstract_inverted_index":{"Most":[0],"practical":[1],"optimization":[2,27,41,182],"problems":[3,171],"involve":[4,77],"expensive":[5,121],"evaluation":[6,86,93],"procedures":[7],"for":[8,142],"computing":[9],"objective":[10],"and":[11,17,37,57,75,136,146,158,169,180,184],"constraint":[12],"functions.":[13,122],"To":[14],"obtain":[15,102],"reasonable":[16],"accurate":[18],"solutions":[19,36],"close":[20],"to":[21,42,53,101,115],"true":[22],"Pareto-optimal":[23],"solutions,":[24],"evolutionary":[25],"multi-objective":[26],"(EMO)":[28],"algorithms":[29,50,70],"create":[30],"surrogate":[31],"models":[32],"from":[33],"already-evaluated":[34],"high-fidelity":[35,67,97,140,159],"use":[38],"them":[39],"during":[40],"save":[43],"computational":[44],"time.":[45],"However,":[46],"most":[47],"surrogate-assisted":[48],"EMO":[49,129],"are":[51,71],"designed":[52],"evaluate":[54],"all":[55],"objectives":[56,74,137],"constraints":[58,76,135],"of":[59,65,81,83,106,110,154,167,175],"a":[60,66,148,165,177],"solution,":[61],"if":[62,73],"found":[63],"worthy":[64],"evaluation.":[68],"Such":[69],"inefficient":[72],"heterogeneity":[78],"with":[79,90,156],"orders":[80],"magnitude":[82],"difference":[84],"in":[85],"times.":[87],"Clearly,":[88],"functions":[89],"relatively":[91],"small":[92],"time":[94,118],"can":[95],"be":[96,139],"evaluated":[98,141,160],"more":[99,117],"often":[100],"an":[103,128],"overall":[104],"idea":[105],"the":[107,111,173],"potential":[108],"importance":[109],"solution":[112],"before":[113],"deciding":[114],"spend":[116],"on":[119,164],"evaluating":[120],"In":[123],"this":[124],"paper,":[125],"we":[126],"propose":[127],"approach":[130],"that":[131],"carefully":[132],"determines":[133],"which":[134],"should":[138],"every":[143],"population":[144,161],"member":[145],"suggests":[147],"mixed-fidelity":[149],"survival":[150],"selection":[151],"procedure":[152],"capable":[153],"working":[155],"low-":[157],"members.":[162],"Results":[163],"number":[166],"test":[168],"engineering":[170],"indicate":[172],"viability":[174],"such":[176],"constrained":[178],"multi-":[179],"many-objective":[181],"algorithm":[183],"encourage":[185],"further":[186],"attention.":[187]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}