{"id":"https://openalex.org/W2885283513","doi":"https://doi.org/10.1145/3205455.3205514","title":"Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies","display_name":"Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2885283513","doi":"https://doi.org/10.1145/3205455.3205514","mag":"2885283513"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205455.3205514","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":null,"license_id":null,"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":"green","oa_url":"https://research.manchester.ac.uk/en/publications/5cbe2d4f-8031-4586-a464-ba0c27864179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057408251","display_name":"Tinkle Chugh","orcid":"https://orcid.org/0000-0001-5123-8148"},"institutions":[{"id":"https://openalex.org/I23923803","display_name":"University of Exeter","ror":"https://ror.org/03yghzc09","country_code":"GB","type":"education","lineage":["https://openalex.org/I23923803"]},{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI","GB"],"is_corresponding":false,"raw_author_name":"Tinkle Chugh","raw_affiliation_strings":["University of Jyvaskyla, Finland and University of Exeter, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jyvaskyla, Finland and University of Exeter, United Kingdom","institution_ids":["https://openalex.org/I94722563","https://openalex.org/I23923803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053181919","display_name":"Richard Allmendinger","orcid":"https://orcid.org/0000-0003-1236-3143"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Richard Allmendinger","raw_affiliation_strings":["The University of Manchester, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076431524","display_name":"Vesa Ojalehto","orcid":"https://orcid.org/0000-0002-5990-7518"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Vesa Ojalehto","raw_affiliation_strings":["University of Jyvaskyla, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jyvaskyla, Finland","institution_ids":["https://openalex.org/I94722563"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020945863","display_name":"Kaisa Miettinen","orcid":"https://orcid.org/0000-0003-1013-4689"},"institutions":[{"id":"https://openalex.org/I94722563","display_name":"University of Jyv\u00e4skyl\u00e4","ror":"https://ror.org/05n3dz165","country_code":"FI","type":"education","lineage":["https://openalex.org/I94722563"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kaisa Miettinen","raw_affiliation_strings":["University of Jyvaskyla, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Jyvaskyla, Finland","institution_ids":["https://openalex.org/I94722563"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"609","last_page":"616"},"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":0.9825000166893005,"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":0.9781000018119812,"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/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.8121241331100464},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7868761420249939},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965770721435547},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6335915923118591},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6164628863334656},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5811517238616943},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5138962268829346},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5108887553215027},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4856971204280853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3315896987915039},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32756033539772034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30441129207611084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2698093056678772}],"concepts":[{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.8121241331100464},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7868761420249939},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965770721435547},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6335915923118591},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6164628863334656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5811517238616943},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5138962268829346},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5108887553215027},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4856971204280853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3315896987915039},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32756033539772034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30441129207611084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2698093056678772},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/3205455.3205514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205455.3205514","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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/5cbe2d4f-8031-4586-a464-ba0c27864179","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/5cbe2d4f-8031-4586-a464-ba0c27864179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"chugh, T, Allmendinger, R, Ojalehto, V & Miettinen, K 2018, Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. in Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). Association for Computing Machinery. https://doi.org/10.1145/3205455.3205514","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:jyx.jyu.fi:123456789/59258","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205514\"","pdf_url":"http://urn.fi/URN:NBN:fi:jyu-201807243633","source":{"id":"https://openalex.org/S4306400563","display_name":"Jyv\u00e4skyl\u00e4 University Digital Archive (University of Jyv\u00e4skyl\u00e4)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I94722563","host_organization_name":"University of Jyv\u00e4skyl\u00e4","host_organization_lineage":["https://openalex.org/I94722563"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"http://purl.org/coar/resource_type/c_5794"},{"id":"pmh:oai:ore.exeter.ac.uk:10871/33531","is_oa":false,"landing_page_url":"http://hdl.handle.net/10871/33531","pdf_url":null,"source":{"id":"https://openalex.org/S4306401998","display_name":"Open Research Exeter (University of Exeter)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I23923803","host_organization_name":"University of Exeter","host_organization_lineage":["https://openalex.org/I23923803"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:figshare.com:article/29745428","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Surrogate-assisted_evolutionary_biobjective_optimization_for_objectives_with_non-uniform_latencies/29745428","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},{"id":"pmh:oai:pure.atira.dk:publications/5cbe2d4f-8031-4586-a464-ba0c27864179","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/surrogateassisted-evolutionary-biobjective-optimization-for-objectives-with-nonuniform-latencies(5cbe2d4f-8031-4586-a464-ba0c27864179).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/5cbe2d4f-8031-4586-a464-ba0c27864179","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/5cbe2d4f-8031-4586-a464-ba0c27864179","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"chugh, T, Allmendinger, R, Ojalehto, V & Miettinen, K 2018, Surrogate-assisted evolutionary biobjective optimization for objectives with non-uniform latencies. in Proceedings of the 2018 Genetic and Evolutionary Computation Conference (GECCO 2018). Association for Computing Machinery. https://doi.org/10.1145/3205455.3205514","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321855","display_name":"Tekes","ror":"https://ror.org/02ag8cq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W67410117","https://openalex.org/W612972800","https://openalex.org/W1530226874","https://openalex.org/W1695563742","https://openalex.org/W1846834309","https://openalex.org/W1995861141","https://openalex.org/W2000503034","https://openalex.org/W2027257688","https://openalex.org/W2050190321","https://openalex.org/W2054640518","https://openalex.org/W2098907614","https://openalex.org/W2111526171","https://openalex.org/W2116858902","https://openalex.org/W2129231661","https://openalex.org/W2161055009","https://openalex.org/W2240778448","https://openalex.org/W2343601797","https://openalex.org/W2432516117","https://openalex.org/W2517882440","https://openalex.org/W2546299924","https://openalex.org/W2593264580","https://openalex.org/W2619926566","https://openalex.org/W2729909848","https://openalex.org/W2772079570"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W85101999","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3134440233","https://openalex.org/W2751605210","https://openalex.org/W2022485595"],"abstract_inverted_index":{"We":[0],"consider":[1],"multiobjective":[2,24],"optimization":[3,25],"problems":[4,118],"where":[5],"objective":[6,35],"functions":[7,36],"have":[8],"different":[9,89],"(or":[10],"heterogeneous)":[11],"evaluation":[12],"times":[13],"or":[14],"latencies.":[15,184],"This":[16,76],"is":[17,28,78,110],"of":[18,42,62,81,115,122],"great":[19],"relevance":[20],"for":[21,88,95,105,141],"(computationally)":[22],"expensive":[23],"as":[26,161,174,176],"there":[27],"no":[29],"reason":[30],"to":[31,44,86,99,134],"assume":[32],"that":[33],"all":[34],"should":[37],"take":[38],"an":[39,177,181],"equal":[40],"amount":[41],"time":[43],"be":[45],"evaluated":[46,51],"(particularly":[47],"when":[48],"objectives":[49],"are":[50,131],"separately).":[52],"To":[53],"cope":[54],"with":[55],"such":[56,142,160],"problems,":[57,143],"we":[58],"propose":[59],"a":[60,79,113,148],"variation":[61],"the":[63,107,127,165,171],"Kriging-assisted":[64],"reference":[65],"vector":[66],"guided":[67],"evolutionary":[68,93,150],"algorithm":[69,77,94],"(K-RVEA)":[70],"called":[71],"heterogeneous":[72],"K-RVEA":[73],"(short":[74],"HK-RVEA).":[75],"merger":[80],"two":[82,166],"main":[83],"concepts":[84],"designed":[85],"account":[87],"latencies:":[90],"A":[91],"single-objective":[92],"selecting":[96],"training":[97],"data":[98],"train":[100],"surrogates":[101],"and":[102,124],"K-RVEA's":[103],"approach":[104],"updating":[106],"surrogates.":[108],"HK-RVEA":[109,168],"validated":[111],"on":[112],"set":[114],"biobjective":[116],"benchmark":[117],"varying":[119],"in":[120,147,180],"terms":[121],"latencies":[123,163],"correlations":[125],"between":[126,164],"objectives.":[128],"The":[129],"results":[130],"also":[132],"compared":[133],"those":[135],"obtained":[136],"by":[137],"previously":[138],"proposed":[139],"strategies":[140,173],"which":[144],"were":[145],"embedded":[146],"non-surrogate-assisted":[149],"algorithm.":[151],"Our":[152],"experimental":[153],"study":[154],"shows":[155],"that,":[156],"under":[157],"certain":[158],"conditions,":[159],"short":[162],"objectives,":[167],"can":[169],"outperform":[170],"existing":[172],"well":[175],"optimizer":[178],"operating":[179],"environment":[182],"without":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}