{"id":"https://openalex.org/W2957115546","doi":"https://doi.org/10.1145/3319619.3326876","title":"Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration","display_name":"Deadline-driven approach for multi-fidelity surrogate-assisted environmental model calibration","publication_year":2019,"publication_date":"2019-07-10","ids":{"openalex":"https://openalex.org/W2957115546","doi":"https://doi.org/10.1145/3319619.3326876","mag":"2957115546"},"language":"en","primary_location":{"id":"doi:10.1145/3319619.3326876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3326876","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","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/A5014299140","display_name":"Nikolay O. Nikitin","orcid":"https://orcid.org/0000-0002-6839-9957"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Nikolay O. Nikitin","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004681734","display_name":"Pavel Vychuzhanin","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel Vychuzhanin","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004239401","display_name":"Alexander Hvatov","orcid":"https://orcid.org/0000-0002-5222-583X"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Hvatov","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110953720","display_name":"Irina Deeva","orcid":null},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irina Deeva","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056189231","display_name":"Anna V. Kalyuzhnaya","orcid":"https://orcid.org/0000-0002-9612-8601"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Anna V. Kalyuzhnaya","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029904389","display_name":"Sergey V. Kovalchuk","orcid":"https://orcid.org/0000-0001-8828-4615"},"institutions":[{"id":"https://openalex.org/I173089394","display_name":"ITMO University","ror":"https://ror.org/04txgxn49","country_code":"RU","type":"education","lineage":["https://openalex.org/I173089394"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Sergey V. Kovalchuk","raw_affiliation_strings":["ITMO University, Saint Petersburg, Russia"],"affiliations":[{"raw_affiliation_string":"ITMO University, Saint Petersburg, Russia","institution_ids":["https://openalex.org/I173089394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014299140"],"corresponding_institution_ids":["https://openalex.org/I173089394"],"apc_list":null,"apc_paid":null,"fwci":1.8914,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83745583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1583","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11371","display_name":"Wind and Air Flow Studies","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.991599977016449,"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/T10680","display_name":"Wind Energy Research and Development","score":0.9639999866485596,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/fidelity","display_name":"Fidelity","score":0.8102902173995972},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7245787978172302},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6847385168075562},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6508060693740845},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6460587978363037},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.6178085803985596},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5261266231536865},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5232172012329102},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4116438627243042},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3499261736869812},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.22801950573921204},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11876091361045837}],"concepts":[{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.8102902173995972},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7245787978172302},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6847385168075562},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6508060693740845},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6460587978363037},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.6178085803985596},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5261266231536865},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5232172012329102},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4116438627243042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3499261736869812},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.22801950573921204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11876091361045837},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3319619.3326876","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3319619.3326876","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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 Companion","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329591","display_name":"Lomonosov Moscow State University","ror":"https://ror.org/010pmpe69"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1517548193","https://openalex.org/W1543258308","https://openalex.org/W1975883468","https://openalex.org/W1987325243","https://openalex.org/W2022329353","https://openalex.org/W2024974798","https://openalex.org/W2037644243","https://openalex.org/W2056145269","https://openalex.org/W2081453109","https://openalex.org/W2095739901","https://openalex.org/W2101126742","https://openalex.org/W2112147653","https://openalex.org/W2113548869","https://openalex.org/W2124994175","https://openalex.org/W2132366653","https://openalex.org/W2136093754","https://openalex.org/W2187169370","https://openalex.org/W2243769293","https://openalex.org/W2264594800","https://openalex.org/W2334140162","https://openalex.org/W2495412896","https://openalex.org/W2526518095","https://openalex.org/W2593264580","https://openalex.org/W2772079570","https://openalex.org/W2823490681","https://openalex.org/W2889588624","https://openalex.org/W2963241999","https://openalex.org/W3008266942","https://openalex.org/W3099512881","https://openalex.org/W3100190377"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4367145462","https://openalex.org/W2550292406","https://openalex.org/W1606502848","https://openalex.org/W4293363729"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"the":[3,11,20,36,42,49,54,64,68,71,81,98,105,107,115,123,126,134,142,153,156,164],"approach":[4,159],"for":[5,62,163],"calibration":[6,84],"of":[7,13,19,45,53,70,73,94,100,109,125,155],"environmental":[8,55,166],"models":[9],"with":[10,48,80,133],"presence":[12,99],"time":[14,39],"and":[15,59,160],"quality":[16,96],"restrictions.":[17],"Advantages":[18],"suggested":[21],"strategy":[22,108],"are":[23],"based":[24],"on":[25],"two":[26],"main":[27],"concepts.":[28],"The":[29,86,149],"first":[30],"advantage":[31,88],"was":[32,78,89,131],"provided":[33],"by":[34,91],"reducing":[35],"overall":[37],"optimisation":[38,95],"due":[40,103],"to":[41,104,121],"surrogate":[43],"modelling":[44],"fitness":[46,65,111],"function":[47],"iterative":[50],"gradual":[51],"refinement":[52],"model":[56,145],"fidelity":[57],"(spatial":[58],"temporal":[60],"resolution)":[61],"improving":[63],"approximation.":[66],"For":[67],"demonstration":[69],"efficiency":[72,124],"surrogate-assisted":[74],"multi-fidelity":[75,110],"approach,":[76],"it":[77,130],"compared":[79,132],"baseline":[82],"evolutionary":[83,116],"approach.":[85,137],"second":[87],"assured":[90],"additional":[92],"increasing":[93],"in":[97],"strict":[101],"deadline":[102],"building":[106],"approximation":[112],"directly":[113],"during":[114],"algorithm":[117],"execution.":[118],"In":[119],"order":[120],"prove":[122],"proposed":[127,157],"dynamic":[128],"strategy,":[129],"preliminary":[135],"meta-optimisation":[136],"As":[138],"a":[139],"case":[140],"study,":[141],"wind":[143],"wave":[144],"SWAN":[146],"is":[147],"used.":[148],"conducted":[150],"experiments":[151],"confirm":[152],"effectiveness":[154],"anytime":[158],"its":[161],"applicability":[162],"complex":[165],"models'":[167],"parameters":[168],"calibration.":[169]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}