{"id":"https://openalex.org/W2907344895","doi":"https://doi.org/10.1007/s11590-018-1372-5","title":"Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems","display_name":"Selection of a covariance function for a Gaussian random field aimed for modeling global optimization problems","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2907344895","doi":"https://doi.org/10.1007/s11590-018-1372-5","mag":"2907344895"},"language":"en","primary_location":{"id":"doi:10.1007/s11590-018-1372-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-018-1372-5","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optimization Letters","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/A5065172367","display_name":"Anatoly Zhigljavsky","orcid":"https://orcid.org/0000-0003-0630-8279"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anatoly Zhigljavsky","raw_affiliation_strings":["School of Mathematics, Cardiff University, Cardiff, CF24 1AG, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics, Cardiff University, Cardiff, CF24 1AG, UK","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057964478","display_name":"Antanas \u017dilinskas","orcid":"https://orcid.org/0000-0003-3091-0569"},"institutions":[{"id":"https://openalex.org/I173212132","display_name":"Vilnius University","ror":"https://ror.org/03nadee84","country_code":"LT","type":"education","lineage":["https://openalex.org/I173212132"]}],"countries":["LT"],"is_corresponding":true,"raw_author_name":"Antanas \u017dilinskas","raw_affiliation_strings":["Institute of Data Science and Digital Technologies, Vilnius University, Akademijos 4, 08663, Vilnius, Lithuania"],"raw_orcid":"https://orcid.org/0000-0003-3091-0569","affiliations":[{"raw_affiliation_string":"Institute of Data Science and Digital Technologies, Vilnius University, Akademijos 4, 08663, Vilnius, Lithuania","institution_ids":["https://openalex.org/I173212132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057964478"],"corresponding_institution_ids":["https://openalex.org/I173212132"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":1.9538,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.86948854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"13","issue":"2","first_page":"249","last_page":"259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9973999857902527,"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":0.9973999857902527,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9915000200271606,"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/T11801","display_name":"Reservoir Engineering and Simulation Methods","score":0.9739999771118164,"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/covariance-function","display_name":"Covariance function","score":0.8111380934715271},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.6934338212013245},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.6144272089004517},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5835229754447937},{"id":"https://openalex.org/keywords/mat\u00e9rn-covariance-function","display_name":"Mat\u00e9rn covariance function","score":0.5655276775360107},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5630089044570923},{"id":"https://openalex.org/keywords/gaussian-random-field","display_name":"Gaussian random field","score":0.553621232509613},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5035516619682312},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4983506202697754},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.49103426933288574},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4865080714225769},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4799071252346039},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4552709758281708},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4552622437477112},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43570128083229065},{"id":"https://openalex.org/keywords/law-of-total-covariance","display_name":"Law of total covariance","score":0.4275584816932678},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4222647547721863},{"id":"https://openalex.org/keywords/covariance-intersection","display_name":"Covariance intersection","score":0.4094299376010895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3457905948162079},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2676481306552887},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1665155589580536},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07943093776702881},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07026135921478271}],"concepts":[{"id":"https://openalex.org/C137250428","wikidata":"https://www.wikidata.org/wiki/Q5178897","display_name":"Covariance function","level":3,"score":0.8111380934715271},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.6934338212013245},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.6144272089004517},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5835229754447937},{"id":"https://openalex.org/C118006245","wikidata":"https://www.wikidata.org/wiki/Q6792079","display_name":"Mat\u00e9rn covariance function","level":5,"score":0.5655276775360107},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5630089044570923},{"id":"https://openalex.org/C51267290","wikidata":"https://www.wikidata.org/wiki/Q5527848","display_name":"Gaussian random field","level":4,"score":0.553621232509613},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5035516619682312},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4983506202697754},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49103426933288574},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4865080714225769},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4799071252346039},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4552709758281708},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4552622437477112},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43570128083229065},{"id":"https://openalex.org/C126372606","wikidata":"https://www.wikidata.org/wiki/Q6503511","display_name":"Law of total covariance","level":5,"score":0.4275584816932678},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4222647547721863},{"id":"https://openalex.org/C83042196","wikidata":"https://www.wikidata.org/wiki/Q5178898","display_name":"Covariance intersection","level":4,"score":0.4094299376010895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3457905948162079},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2676481306552887},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1665155589580536},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07943093776702881},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07026135921478271},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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:10.1007/s11590-018-1372-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11590-018-1372-5","pdf_url":null,"source":{"id":"https://openalex.org/S12647387","display_name":"Optimization Letters","issn_l":"1862-4472","issn":["1862-4472","1862-4480"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Optimization Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8873249487","display_name":null,"funder_award_id":"P-MIP-17-61","funder_id":"https://openalex.org/F4320322689","funder_display_name":"Lietuvos Mokslo Taryba"}],"funders":[{"id":"https://openalex.org/F4320322689","display_name":"Lietuvos Mokslo Taryba","ror":"https://ror.org/02gs16m83"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1543692203","https://openalex.org/W1561829533","https://openalex.org/W1563231564","https://openalex.org/W1746819321","https://openalex.org/W1887414450","https://openalex.org/W1976355201","https://openalex.org/W2018044188","https://openalex.org/W2044458183","https://openalex.org/W2048071335","https://openalex.org/W2076786511","https://openalex.org/W2101853697","https://openalex.org/W2168464387","https://openalex.org/W2532170443","https://openalex.org/W2561675875","https://openalex.org/W2582155237","https://openalex.org/W2801511861","https://openalex.org/W3105721104","https://openalex.org/W4236876623"],"related_works":["https://openalex.org/W2022823194","https://openalex.org/W2110484224","https://openalex.org/W2046078371","https://openalex.org/W3178402891","https://openalex.org/W2050026105","https://openalex.org/W3128703436","https://openalex.org/W2109377650","https://openalex.org/W3211883524","https://openalex.org/W3025277714","https://openalex.org/W4315750325"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}