{"id":"https://openalex.org/W3011495853","doi":"https://doi.org/10.1080/03155986.2020.1730677","title":"Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step","display_name":"Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step","publication_year":2020,"publication_date":"2020-03-19","ids":{"openalex":"https://openalex.org/W3011495853","doi":"https://doi.org/10.1080/03155986.2020.1730677","mag":"3011495853"},"language":"en","primary_location":{"id":"doi:10.1080/03155986.2020.1730677","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03155986.2020.1730677","pdf_url":null,"source":{"id":"https://openalex.org/S155959304","display_name":"INFOR Information Systems and Operational Research","issn_l":"0315-5986","issn":["0315-5986","1916-0615"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFOR: Information Systems and Operational Research","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/A5033214649","display_name":"Miguel Munoz Zuniga","orcid":null},"institutions":[{"id":"https://openalex.org/I265217849","display_name":"IFP \u00c9nergies nouvelles","ror":"https://ror.org/03gcbhc33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I265217849"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Miguel Munoz Zuniga","raw_affiliation_strings":["IFP Energies Nouvelles, Rueil-Malmaison Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFP Energies Nouvelles, Rueil-Malmaison Cedex, France","institution_ids":["https://openalex.org/I265217849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030623993","display_name":"Delphine Sinoquet","orcid":"https://orcid.org/0000-0002-3365-2051"},"institutions":[{"id":"https://openalex.org/I265217849","display_name":"IFP \u00c9nergies nouvelles","ror":"https://ror.org/03gcbhc33","country_code":"FR","type":"facility","lineage":["https://openalex.org/I265217849"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Delphine Sinoquet","raw_affiliation_strings":["IFP Energies Nouvelles, Rueil-Malmaison Cedex, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IFP Energies Nouvelles, Rueil-Malmaison Cedex, France","institution_ids":["https://openalex.org/I265217849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033214649"],"corresponding_institution_ids":["https://openalex.org/I265217849"],"apc_list":null,"apc_paid":null,"fwci":1.5194,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.8634058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"58","issue":"2","first_page":"310","last_page":"341"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T11236","display_name":"Control Systems and Identification","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/categorical-variable","display_name":"Categorical variable","score":0.867119550704956},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6658522486686707},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5748609900474548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5064254999160767},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4988856315612793},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.48288512229919434},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46500927209854126},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4636797308921814},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.45458874106407166},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.44370660185813904},{"id":"https://openalex.org/keywords/continuous-optimization","display_name":"Continuous optimization","score":0.4296957850456238},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39706045389175415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32898151874542236},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3268500864505768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2614966630935669},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.08102208375930786}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.867119550704956},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6658522486686707},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5748609900474548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5064254999160767},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4988856315612793},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.48288512229919434},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46500927209854126},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4636797308921814},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.45458874106407166},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.44370660185813904},{"id":"https://openalex.org/C92995354","wikidata":"https://www.wikidata.org/wiki/Q5165499","display_name":"Continuous optimization","level":4,"score":0.4296957850456238},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39706045389175415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32898151874542236},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3268500864505768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2614966630935669},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.08102208375930786},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03155986.2020.1730677","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03155986.2020.1730677","pdf_url":null,"source":{"id":"https://openalex.org/S155959304","display_name":"INFOR Information Systems and Operational Research","issn_l":"0315-5986","issn":["0315-5986","1916-0615"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFOR: Information Systems and Operational Research","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02512185v1","is_oa":false,"landing_page_url":"https://ifp.hal.science/hal-02512185","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"INFOR: Information Systems and Operational Research , 2020, &#x27E8;10.1080/03155986.2020.1730677&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W825526018","https://openalex.org/W1502922572","https://openalex.org/W1510052597","https://openalex.org/W1573878755","https://openalex.org/W1584066809","https://openalex.org/W1746819321","https://openalex.org/W1748199557","https://openalex.org/W1840389249","https://openalex.org/W1972790352","https://openalex.org/W1975046772","https://openalex.org/W1975177745","https://openalex.org/W1979869067","https://openalex.org/W1998855065","https://openalex.org/W2000359198","https://openalex.org/W2008292066","https://openalex.org/W2014098980","https://openalex.org/W2018044188","https://openalex.org/W2038669746","https://openalex.org/W2042504105","https://openalex.org/W2057830724","https://openalex.org/W2070784071","https://openalex.org/W2073194613","https://openalex.org/W2073491843","https://openalex.org/W2091183751","https://openalex.org/W2094009285","https://openalex.org/W2101026316","https://openalex.org/W2135892144","https://openalex.org/W2156614992","https://openalex.org/W2337622394","https://openalex.org/W2579190672","https://openalex.org/W2605114524","https://openalex.org/W2765449478","https://openalex.org/W2889510677","https://openalex.org/W2963003484","https://openalex.org/W2983836991","https://openalex.org/W4206439534","https://openalex.org/W4237151101","https://openalex.org/W4240022917","https://openalex.org/W4249753629","https://openalex.org/W4252622205"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2810474318"],"abstract_inverted_index":{"Real":[0],"industrial":[1],"studies":[2],"often":[3],"give":[4],"rise":[5],"to":[6,37,45],"complex":[7],"optimization":[8],"problems":[9],"involving":[10],"mixed":[11],"variables":[12],"and":[13,47,116],"time":[14],"consuming":[15],"simulators.":[16],"To":[17],"deal":[18],"with":[19,32,43,111,132],"these":[20],"difficulties":[21],"we":[22,117,128],"propose":[23],"the":[24,40,53,61,68,71,92,99,108,119],"use":[25],"of":[26,52,70,88,107,138],"a":[27,33,78,104,112,124,136],"Gaussian":[28],"process":[29],"regression":[30],"surrogate":[31,57],"suitable":[34],"kernel":[35],"able":[36],"capture":[38],"simultaneously":[39],"output":[41],"correlations":[42],"respect":[44],"continuous":[46],"categorical/discrete":[48],"inputs":[49],"without":[50],"relaxation":[51],"categorical":[54,109],"variables.":[55],"The":[56],"is":[58,77,84],"integrated":[59,97],"into":[60,98],"Efficient":[62],"Global":[63],"Optimization":[64],"method":[65],"based":[66],"on":[67,123,135],"maximization":[69,76],"Expected":[72],"Improvement":[73],"criterion.":[74],"This":[75],"Mixed":[79],"Integer":[80],"Non-Linear":[81],"problem":[82],"which":[83],"solved":[85],"by":[86],"means":[87],"an":[89],"adequate":[90],"optimizer:":[91],"Mesh":[93],"Adaptive":[94],"Direct":[95],"Search,":[96],"NOMAD":[100],"library.":[101],"We":[102],"introduce":[103],"random":[105],"exploration":[106],"space":[110],"data-based":[113],"probability":[114],"distribution":[115],"illustrate":[118],"full":[120],"strategy":[121],"accuracy":[122],"toy":[125],"problem.":[126],"Finally":[127],"compare":[129],"our":[130],"approach":[131],"other":[133],"optimizers":[134],"benchmark":[137],"functions.":[139]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
