{"id":"https://openalex.org/W2793351526","doi":"https://doi.org/10.1007/s10898-018-0641-2","title":"Bayesian optimization of pump operations in water distribution systems","display_name":"Bayesian optimization of pump operations in water distribution systems","publication_year":2018,"publication_date":"2018-03-26","ids":{"openalex":"https://openalex.org/W2793351526","doi":"https://doi.org/10.1007/s10898-018-0641-2","mag":"2793351526"},"language":"en","primary_location":{"id":"doi:10.1007/s10898-018-0641-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10898-018-0641-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10898-018-0641-2.pdf","source":{"id":"https://openalex.org/S115925768","display_name":"Journal of Global Optimization","issn_l":"0925-5001","issn":["0925-5001","1573-2916"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Global Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10898-018-0641-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007832994","display_name":"Antonio Candelieri","orcid":"https://orcid.org/0000-0003-1431-576X"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"A. Candelieri","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070430119","display_name":"Riccardo Perego","orcid":"https://orcid.org/0000-0003-0117-2237"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"R. Perego","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011390491","display_name":"Francesco Archetti","orcid":"https://orcid.org/0000-0003-1131-3830"},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"F. Archetti","raw_affiliation_strings":["Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Systems and Communications, University of Milano-Bicocca, Viale Sarca 336, 20125, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5007832994"],"corresponding_institution_ids":["https://openalex.org/I66752286"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2780},"apc_paid":{"value":2190,"currency":"EUR","value_usd":2780},"fwci":11.0547,"has_fulltext":true,"cited_by_count":96,"citation_normalized_percentile":{"value":0.9892365,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"71","issue":"1","first_page":"213","last_page":"235"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9944999814033508,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.6838511824607849},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.636505126953125},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6263692378997803},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.605829119682312},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5079558491706848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5010485649108887},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.489199161529541},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4312204122543335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31165677309036255},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3067936897277832},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2014765441417694}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6838511824607849},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.636505126953125},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6263692378997803},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.605829119682312},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5079558491706848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5010485649108887},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.489199161529541},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4312204122543335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31165677309036255},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3067936897277832},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2014765441417694},{"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s10898-018-0641-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10898-018-0641-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10898-018-0641-2.pdf","source":{"id":"https://openalex.org/S115925768","display_name":"Journal of Global Optimization","issn_l":"0925-5001","issn":["0925-5001","1573-2916"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Global Optimization","raw_type":"journal-article"},{"id":"pmh:oai:boa.unimib.it:10281/204359","is_oa":true,"landing_page_url":"http://hdl.handle.net/10281/204359","pdf_url":"https://boa.unimib.it/bitstream/10281/204359/5/2018%20-%20Bayesian%20optimization%20of%20pump%20operations%20in%20water.pdf","source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:RePEc:spr:jglopt:v:71:y:2018:i:1:d:10.1007_s10898-018-0641-2","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s10898-018-0641-2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":{"id":"doi:10.1007/s10898-018-0641-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10898-018-0641-2","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10898-018-0641-2.pdf","source":{"id":"https://openalex.org/S115925768","display_name":"Journal of Global Optimization","issn_l":"0925-5001","issn":["0925-5001","1573-2916"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Global Optimization","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793351526.pdf","grobid_xml":"https://content.openalex.org/works/W2793351526.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W60686164","https://openalex.org/W62429925","https://openalex.org/W206545245","https://openalex.org/W1262302848","https://openalex.org/W1871676304","https://openalex.org/W1930624869","https://openalex.org/W1969513389","https://openalex.org/W1997831439","https://openalex.org/W2013936783","https://openalex.org/W2016769236","https://openalex.org/W2025280025","https://openalex.org/W2041800222","https://openalex.org/W2052108960","https://openalex.org/W2061144551","https://openalex.org/W2077658674","https://openalex.org/W2081244577","https://openalex.org/W2084383112","https://openalex.org/W2085844159","https://openalex.org/W2085908846","https://openalex.org/W2108114251","https://openalex.org/W2113741278","https://openalex.org/W2118536696","https://openalex.org/W2131241448","https://openalex.org/W2138514085","https://openalex.org/W2141219108","https://openalex.org/W2166623418","https://openalex.org/W2192203593","https://openalex.org/W2258551660","https://openalex.org/W2318298354","https://openalex.org/W2527664347","https://openalex.org/W2548533198","https://openalex.org/W2549232109","https://openalex.org/W2556522401","https://openalex.org/W2596709491","https://openalex.org/W2600845876","https://openalex.org/W2602685854","https://openalex.org/W2612148678","https://openalex.org/W2626285949","https://openalex.org/W2756344120","https://openalex.org/W2765847929","https://openalex.org/W2885636621","https://openalex.org/W2962898795","https://openalex.org/W2963621992","https://openalex.org/W2963659022","https://openalex.org/W3012317737","https://openalex.org/W3124229194","https://openalex.org/W4236367639","https://openalex.org/W6600617704","https://openalex.org/W6601979399","https://openalex.org/W6732858117"],"related_works":["https://openalex.org/W3014573403","https://openalex.org/W2169974588","https://openalex.org/W4381941132","https://openalex.org/W2114881872","https://openalex.org/W2056777143","https://openalex.org/W2084593435","https://openalex.org/W3084133043","https://openalex.org/W2139145565","https://openalex.org/W2905297725","https://openalex.org/W4237912051"],"abstract_inverted_index":{"Bayesian":[0,31,181],"optimization":[1,10,32,97,114,142],"has":[2],"become":[3],"a":[4,36,100,112,164,196,200,213,218,227],"widely":[5],"used":[6,73,156],"tool":[7],"in":[8,99,133,186,233],"the":[9,41,51,59,63,67,77,82,91,94,134,159,190,224],"and":[11,45,53,107,122,130,167,176,199,226],"machine":[12],"learning":[13],"communities.":[14],"It":[15],"is":[16,33,76,81,155,178,193],"suitable":[17],"to":[18,29,157,163,168],"problems":[19],"as":[20],"simulation/optimization":[21],"and/or":[22],"with":[23,104,208],"an":[24,54],"objective":[25,42],"function":[26,56],"computationally":[27,143],"expensive":[28],"evaluate.":[30],"based":[34,57,194],"on":[35,58,195,212],"surrogate":[37,74,191],"probabilistic":[38],"model":[39,75,192],"of":[40,84,120,136,215],"whose":[43],"mean":[44],"variance":[46],"are":[47,173,184,206],"sequentially":[48],"updated":[49],"using":[50],"observations":[52],"\u201cacquisition\u201d":[55],"model,":[60,115],"which":[61,80],"sets":[62],"next":[64],"observation":[65],"at":[66],"most":[68,72],"\u201cpromising\u201d":[69],"point.":[70],"The":[71,151],"Gaussian":[78,197],"Process":[79,198],"basis":[83],"well-known":[85,152],"Kriging":[86],"algorithms.":[87],"In":[88,111],"this":[89,187],"paper,":[90,188],"authors":[92],"consider":[93],"pump":[95,140,165],"scheduling":[96,141],"problem":[98],"Water":[101,148,220,230],"Distribution":[102,149,221,231],"Network":[103,222,232],"both":[105],"ON/OFF":[106,137],"variable":[108],"speed":[109],"pumps.":[110],"global":[113],"accounting":[116],"for":[117,146],"time":[118],"patterns":[119],"demand":[121,177],"energy":[123,160],"price":[124],"allows":[125],"significant":[126],"cost":[127,161],"savings.":[128],"Nonlinearities,":[129],"binary":[131],"decisions":[132],"case":[135],"pumps,":[138],"make":[139],"challenging,":[144],"even":[145],"small":[147],"Networks.":[150],"EPANET":[153],"simulator":[154],"compute":[158],"associated":[162],"schedule":[166],"verify":[169],"that":[170],"hydraulic":[171],"constraints":[172],"not":[174],"violated":[175],"met.":[179],"Two":[180],"Optimization":[182],"approaches":[183,205],"proposed":[185],"where":[189],"Random":[201],"Forest,":[202],"respectively.":[203],"Both":[204],"tested":[207],"different":[209],"acquisition":[210],"functions":[211],"set":[214],"test":[216],"functions,":[217],"benchmark":[219],"from":[223],"literature":[225],"large-scale":[228],"real-life":[229],"Milan,":[234],"Italy.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":6}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
