{"id":"https://openalex.org/W7124172302","doi":"https://doi.org/10.1109/codit66093.2025.11321341","title":"A Hybrid Optimization Approach for a Continuous and Efficient Pump Operation Scheduling in Water Supply Systems","display_name":"A Hybrid Optimization Approach for a Continuous and Efficient Pump Operation Scheduling in Water Supply Systems","publication_year":2025,"publication_date":"2025-07-15","ids":{"openalex":"https://openalex.org/W7124172302","doi":"https://doi.org/10.1109/codit66093.2025.11321341"},"language":null,"primary_location":{"id":"doi:10.1109/codit66093.2025.11321341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5084989087","display_name":"Marlene Br\u00e1s","orcid":"https://orcid.org/0000-0002-5660-2364"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Marlene Br\u00e1s","raw_affiliation_strings":["University of Aveiro,Governance, Competitiveness and Public Policies (GOVCOPP), Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI) Research Units,Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aveiro,Governance, Competitiveness and Public Policies (GOVCOPP), Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI) Research Units,Portugal","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123005089","display_name":"Ana Moura","orcid":null},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Ana Moura","raw_affiliation_strings":["University of Aveiro,Governance, Competitiveness and Public Policies (GOVCOPP) Research Unit"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aveiro,Governance, Competitiveness and Public Policies (GOVCOPP) Research Unit","institution_ids":["https://openalex.org/I60858718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123041941","display_name":"Ant\u00f3nio Andrade-Campos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105785","display_name":"Intelligent Systems Research (United States)","ror":"https://ror.org/01reevc91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210105785"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ant\u00f3nio Andrade-Campos","raw_affiliation_strings":["University of Aveiro,Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI) Research Units"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Aveiro,Centre for Mechanical Technology & Automation (TEMA), Intelligent Systems Associate Laboratory (LASI) Research Units","institution_ids":["https://openalex.org/I4210105785"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.59310892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"491","last_page":"496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11220","display_name":"Water Systems and Optimization","score":0.9908999800682068,"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":0.9908999800682068,"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":0.00430000014603138,"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/T11119","display_name":"Urban Stormwater Management Solutions","score":0.0005000000237487257,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5662999749183655},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5242999792098999},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5213000178337097},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.39169999957084656},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.3869999945163727},{"id":"https://openalex.org/keywords/water-supply","display_name":"Water supply","score":0.36480000615119934},{"id":"https://openalex.org/keywords/cost-reduction","display_name":"Cost reduction","score":0.3571000099182129},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.3508000075817108}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5662999749183655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5378000140190125},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5242999792098999},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5213000178337097},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46720001101493835},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.39169999957084656},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.3869999945163727},{"id":"https://openalex.org/C97053079","wikidata":"https://www.wikidata.org/wiki/Q1061108","display_name":"Water supply","level":2,"score":0.36480000615119934},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3596999943256378},{"id":"https://openalex.org/C2778820799","wikidata":"https://www.wikidata.org/wiki/Q3454688","display_name":"Cost reduction","level":2,"score":0.3571000099182129},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3508000075817108},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.31029999256134033},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.2948000133037567},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C2777347956","wikidata":"https://www.wikidata.org/wiki/Q1362005","display_name":"Operating cost","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.2754000127315521},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.26499998569488525},{"id":"https://openalex.org/C2776190866","wikidata":"https://www.wikidata.org/wiki/Q1341477","display_name":"Energy supply","level":3,"score":0.26350000500679016},{"id":"https://openalex.org/C3017985614","wikidata":"https://www.wikidata.org/wiki/Q149377","display_name":"Operation planning","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.25600001215934753},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit66093.2025.11321341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit66093.2025.11321341","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 11th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8557584285736084,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320330374","display_name":"Foundation for Science and Technology","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1984169789","https://openalex.org/W2010334716","https://openalex.org/W2561705966","https://openalex.org/W3009743021","https://openalex.org/W3047296846","https://openalex.org/W3153001265","https://openalex.org/W4315491683","https://openalex.org/W4315650345","https://openalex.org/W4388101348","https://openalex.org/W4401169584","https://openalex.org/W4411371901"],"related_works":[],"abstract_inverted_index":{"Solving":[0],"the":[1,23,40,71,104],"pump":[2,98],"scheduling":[3],"problem":[4],"in":[5,49],"Water":[6],"Supply":[7],"Systems":[8],"(WSS)":[9],"is":[10],"essential":[11],"for":[12,112],"reducing":[13],"energy":[14],"costs":[15,41],"and":[16,66,89,97],"ensuring":[17,86],"operational":[18],"efficiency.":[19],"This":[20],"study":[21],"applies":[22],"Smart":[24],"Dynamic":[25],"Local":[26],"Search":[27],"(Smart-DLS),":[28],"a":[29,34,50],"hybrid":[30],"optimization":[31],"framework,":[32],"as":[33,106],"decision":[35,109],"support":[36,110],"tool":[37,111],"to":[38],"reduce":[39],"of":[42,45],"five":[43],"days":[44],"continuous":[46],"pumping":[47],"operation":[48],"real":[51],"WSS.":[52],"Smart-DLS":[53,78,105],"integrates":[54],"deterministic":[55],"local":[56],"search":[57],"with":[58],"an":[59,80,107],"intelligent":[60],"shaking":[61],"process,":[62],"enhancing":[63],"solution":[64,72],"robustness":[65],"scalability":[67],"while":[68,85],"efficiently":[69],"exploring":[70],"space.":[73],"The":[74],"results":[75],"demonstrate":[76,103],"that":[77,93],"achieved":[79],"approximately":[81],"19%":[82],"cost":[83,95],"reduction":[84],"tank-level":[87],"compliance":[88],"offering":[90],"flexible":[91],"solutions":[92],"balance":[94],"efficiency":[96],"wear":[99],"reduction.":[100],"These":[101],"outcomes":[102],"effective":[108],"real-time":[113],"WSS":[114],"optimization.":[115]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-15T00:00:00"}