{"id":"https://openalex.org/W2735318448","doi":"https://doi.org/10.1145/3067695.3076086","title":"Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy","display_name":"Ordinal versus metric gaussian process regression in surrogate modelling for CMA evolution strategy","publication_year":2017,"publication_date":"2017-07-11","ids":{"openalex":"https://openalex.org/W2735318448","doi":"https://doi.org/10.1145/3067695.3076086","mag":"2735318448"},"language":"en","primary_location":{"id":"doi:10.1145/3067695.3076086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3076086","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":"conference-paper","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/A5039668906","display_name":"Zbyn\u011bk Pitra","orcid":"https://orcid.org/0000-0003-1911-1301"},"institutions":[{"id":"https://openalex.org/I4210167247","display_name":"National Institute of Mental Health","ror":"https://ror.org/05xj56w78","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I4210167247"]},{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Zbyn\u011bk Pitra","raw_affiliation_strings":["National Institute of Mental Health, Czech Republic and Czech Technical University, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Institute of Mental Health, Czech Republic and Czech Technical University, Prague, Czech Republic","institution_ids":["https://openalex.org/I4210167247","https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017854474","display_name":"Luk\u00e1\u0161 Bajer","orcid":"https://orcid.org/0000-0002-9402-6417"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Luk\u00e1\u0161 Bajer","raw_affiliation_strings":["Charles University, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065936795","display_name":"Jakub Repick\u00fd","orcid":"https://orcid.org/0000-0002-3695-1727"},"institutions":[{"id":"https://openalex.org/I21250087","display_name":"Charles University","ror":"https://ror.org/024d6js02","country_code":"CZ","type":"education","lineage":["https://openalex.org/I21250087"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Jakub Repick\u00fd","raw_affiliation_strings":["Charles University, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Charles University, Prague, Czech Republic","institution_ids":["https://openalex.org/I21250087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075881050","display_name":"Martin Hole\u0148a","orcid":"https://orcid.org/0000-0002-2536-9328"},"institutions":[{"id":"https://openalex.org/I202391551","display_name":"Czech Academy of Sciences","ror":"https://ror.org/053avzc18","country_code":"CZ","type":"government","lineage":["https://openalex.org/I202391551"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Martin Hole\u0148a","raw_affiliation_strings":["Czech Academy of Sciences, Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Czech Academy of Sciences, Prague, Czech Republic","institution_ids":["https://openalex.org/I202391551"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08545918,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"177","last_page":"178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9952999949455261,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.7457641363143921},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.739301860332489},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6785218715667725},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6640560626983643},{"id":"https://openalex.org/keywords/ordinal-regression","display_name":"Ordinal regression","score":0.6517603993415833},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5401052832603455},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5136758685112},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48321616649627686},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48321521282196045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44936150312423706},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.41843533515930176},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4165205955505371},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36713334918022156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3044458329677582},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08548524975776672}],"concepts":[{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.7457641363143921},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.739301860332489},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6785218715667725},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6640560626983643},{"id":"https://openalex.org/C110313322","wikidata":"https://www.wikidata.org/wiki/Q7100793","display_name":"Ordinal regression","level":2,"score":0.6517603993415833},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5401052832603455},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5136758685112},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48321616649627686},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48321521282196045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44936150312423706},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.41843533515930176},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4165205955505371},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36713334918022156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3044458329677582},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08548524975776672},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3067695.3076086","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3067695.3076086","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"},{"id":"pmh:oai:asep.lib.cas.cz:CavUnEpca/0477787","is_oa":false,"landing_page_url":"http://hdl.handle.net/11104/0274011","pdf_url":null,"source":{"id":"https://openalex.org/S7407055266","display_name":"ASEP","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":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1149041291","display_name":null,"funder_award_id":"17-01251","funder_id":"https://openalex.org/F4320321006","funder_display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky"},{"id":"https://openalex.org/G1390201167","display_name":null,"funder_award_id":"SGS 17/193/OHK4/3T/14","funder_id":"https://openalex.org/F4320309972","funder_display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze"},{"id":"https://openalex.org/G3989399936","display_name":null,"funder_award_id":"LO1611","funder_id":"https://openalex.org/F4320321842","funder_display_name":"Ministry of Education, Youth and Science"}],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"},{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"},{"id":"https://openalex.org/F4320321842","display_name":"Ministry of Education, Youth and Science","ror":"https://ror.org/053pcb396"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W102487131","https://openalex.org/W1499920482","https://openalex.org/W2002731955","https://openalex.org/W2029157991","https://openalex.org/W2086252459","https://openalex.org/W2508241630","https://openalex.org/W4241522606"],"related_works":["https://openalex.org/W2931365531","https://openalex.org/W3014573403","https://openalex.org/W4381941132","https://openalex.org/W2084593435","https://openalex.org/W2114881872","https://openalex.org/W2198736978","https://openalex.org/W3084133043","https://openalex.org/W2139145565","https://openalex.org/W2905297725","https://openalex.org/W2060305711"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"an":[3],"ordinal-based":[4],"Gaussian":[5,49],"process":[6,50],"surrogate":[7,51],"model":[8,26],"for":[9,52],"the":[10,19,30,41,46,53],"state-of-the-art":[11],"continuous":[12],"black-box":[13],"optimizer":[14],"CMA-ES":[15,54],"in":[16],"scenarios":[17],"where":[18],"objective":[20],"evaluations":[21],"are":[22],"very":[23],"expensive.":[24],"Such":[25],"is":[27,55],"motivated":[28],"by":[29],"CMA-ES'":[31],"invariance":[32],"with":[33,40,45],"respect":[34],"to":[35],"order":[36],"preserving":[37],"transformations.":[38],"Alongside":[39],"model's":[42],"description,":[43],"comparison":[44],"standard":[47],"(metric)":[48],"given.":[56]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}