{"id":"https://openalex.org/W4410950132","doi":"https://doi.org/10.1109/tie.2025.3563676","title":"Cooperative Dynamic Multiobjective Optimization With Multi-Time-Scale for MSWI Process","display_name":"Cooperative Dynamic Multiobjective Optimization With Multi-Time-Scale for MSWI Process","publication_year":2025,"publication_date":"2025-06-02","ids":{"openalex":"https://openalex.org/W4410950132","doi":"https://doi.org/10.1109/tie.2025.3563676"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2025.3563676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3563676","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","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/A5101610998","display_name":"Weimin Huang","orcid":"https://orcid.org/0000-0002-7663-0223"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weimin Huang","raw_affiliation_strings":["School of information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7663-0223","affiliations":[{"raw_affiliation_string":"School of information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059236092","display_name":"Xi Meng","orcid":"https://orcid.org/0000-0003-4778-3201"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Meng","raw_affiliation_strings":["School of information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4778-3201","affiliations":[{"raw_affiliation_string":"School of information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113852585","display_name":"Junfei Qiao","orcid":"https://orcid.org/0000-0003-0950-7900"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junfei Qiao","raw_affiliation_strings":["School of information Science and Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0950-7900","affiliations":[{"raw_affiliation_string":"School of information Science and Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101610998"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":2.2251,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88429022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"72","issue":"12","first_page":"14093","last_page":"14105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.8377000093460083,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11159","display_name":"Manufacturing Process and Optimization","score":0.8377000093460083,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14474","display_name":"Industrial Technology and Control Systems","score":0.8281999826431274,"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"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.7888000011444092,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/process","display_name":"Process (computing)","score":0.5972392559051514},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.5755258202552795},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5519956946372986},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5350597500801086},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34597572684288025},{"id":"https://openalex.org/keywords/process-engineering","display_name":"Process engineering","score":0.3250029683113098},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.30519217252731323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13162243366241455}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5972392559051514},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5755258202552795},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5519956946372986},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5350597500801086},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34597572684288025},{"id":"https://openalex.org/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","level":1,"score":0.3250029683113098},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.30519217252731323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13162243366241455},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2025.3563676","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2025.3563676","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1172450663","display_name":null,"funder_award_id":"62273013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3929591211","display_name":null,"funder_award_id":"62021003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1574490530","https://openalex.org/W1995972800","https://openalex.org/W2048421273","https://openalex.org/W2126105956","https://openalex.org/W2128539603","https://openalex.org/W2484930447","https://openalex.org/W2519928844","https://openalex.org/W2776878643","https://openalex.org/W2940979927","https://openalex.org/W2963014601","https://openalex.org/W2963630377","https://openalex.org/W2964769212","https://openalex.org/W2981628229","https://openalex.org/W3003956883","https://openalex.org/W3005264862","https://openalex.org/W3091083611","https://openalex.org/W3158886796","https://openalex.org/W3162494198","https://openalex.org/W3187101579","https://openalex.org/W3202889033","https://openalex.org/W3210226571","https://openalex.org/W3210851605","https://openalex.org/W4207039086","https://openalex.org/W4292084929","https://openalex.org/W4312327539","https://openalex.org/W4321366654","https://openalex.org/W4323644246","https://openalex.org/W4386634578","https://openalex.org/W4387191034","https://openalex.org/W4392207785","https://openalex.org/W4396909927","https://openalex.org/W4400351782","https://openalex.org/W4402435386","https://openalex.org/W4404727063"],"related_works":["https://openalex.org/W4318426920","https://openalex.org/W2055791821","https://openalex.org/W2162013778","https://openalex.org/W2153873031","https://openalex.org/W570431388","https://openalex.org/W2637862190","https://openalex.org/W2611723089","https://openalex.org/W2337862504","https://openalex.org/W3082547637","https://openalex.org/W1994436307"],"abstract_inverted_index":{"Municipal":[0],"solid":[1],"waste":[2],"incineration":[3],"(MSWI)":[4],"process":[5,10],"is":[6,30,55,93,130,143],"a":[7,50,78,111,148],"complex":[8],"industrial":[9],"characterized":[11,70],"by":[12,64,71,180,194,209],"multiple":[13,62],"subsystems,":[14],"inherent":[15],"nonlinearities,":[16],"and":[17,19,74,89,100,104,126,145,152,176,183,190,196,199,205],"stochastic":[18,86,135],"time-varying":[20],"dynamic":[21,52,113],"behaviors,":[22],"posing":[23],"significant":[24],"challenges":[25],"for":[26,45],"operational":[27,41,59],"optimization.":[28],"It":[29],"the":[31,40,46,65,108,120,134,140,153,159,167,186,200],"first":[32],"time":[33,75],"to":[34,57,95,106,132],"report":[35],"an":[36],"attempt":[37],"toward":[38],"tackling":[39],"optimization":[42,53,60,83],"with":[43,166],"multi-time-scale":[44],"MSWI":[47,150],"process.":[48],"First,":[49],"cooperative":[51],"scheme":[54],"developed":[56],"achieve":[58],"of":[61,67,137,202],"subsystems":[63],"integration":[66],"two-level":[68],"optimizations,":[69],"performance":[72],"indices":[73],"scales.":[76],"Second,":[77],"two-layer":[79],"multiobjective":[80],"competitive":[81],"swarm":[82],"algorithm,":[84],"comprising":[85],"learning":[87,91],"mode":[88],"explosive":[90],"mode,":[92],"proposed":[94,131,141,160],"improve":[96],"both":[97],"global":[98],"exploration":[99],"local":[101],"exploitation":[102],"abilities":[103],"simultaneously":[105],"handle":[107],"constraints.":[109],"Moreover,":[110],"novel":[112],"response":[114],"strategy,":[115],"typically":[116],"designed":[117],"based":[118],"on":[119],"relationship":[121],"between":[122],"data-driven":[123],"surrogate":[124],"models":[125],"optimal":[127],"Pareto":[128],"solutions,":[129],"address":[133],"changes":[136],"environment.":[138],"Finally,":[139],"method":[142],"deployed":[144],"validated":[146],"in":[147],"real":[149],"plant,":[151],"simulation":[154],"results":[155],"further":[156],"demonstrate":[157],"that":[158],"algorithm":[161],"achieves":[162],"superior":[163],"performance,":[164],"specifically":[165],"nitrogen":[168],"oxides":[169],"(NO<sub":[170],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[171,174],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">x</sub>),":[172],"SO<sub":[173],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sub>,":[175],"HCl":[177],"emissions":[178],"reduced":[179],"12.72%,":[181],"22.81%,":[182],"15.97%,":[184],"respectively,":[185,198],"main":[187],"steam":[188],"flow":[189],"its":[191],"stability":[192],"improved":[193],"5.25%":[195],"59.62%,":[197],"usages":[201],"urea":[203],"solution":[204],"limestone":[206],"slurry":[207],"decreased":[208],"17.23%and":[210],"11.74%,":[211],"respectively.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-06T23:10:59.065948","created_date":"2025-10-10T00:00:00"}
