{"id":"https://openalex.org/W4387006398","doi":"https://doi.org/10.1109/cec53210.2023.10254161","title":"Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem","display_name":"Utilizing Innovization to Solve Large-Scale Multi-Objective Chesapeake Bay Watershed Problem","publication_year":2023,"publication_date":"2023-07-01","ids":{"openalex":"https://openalex.org/W4387006398","doi":"https://doi.org/10.1109/cec53210.2023.10254161"},"language":"en","primary_location":{"id":"doi:10.1109/cec53210.2023.10254161","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec53210.2023.10254161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Congress on Evolutionary Computation (CEC)","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/A5046224413","display_name":"Gregorio Toscano\u2010Pulido","orcid":"https://orcid.org/0000-0001-5311-8027"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregorio Toscano","raw_affiliation_strings":["Michigan State University,Electrical and Computer Eng.,East Lansing,U.S.A","Electrical and Computer Eng., Michigan State University, East Lansing, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Electrical and Computer Eng.,East Lansing,U.S.A","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Electrical and Computer Eng., Michigan State University, East Lansing, U.S.A","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080976426","display_name":"Hoda Razavi","orcid":"https://orcid.org/0009-0005-9676-3313"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoda Razavi","raw_affiliation_strings":["Michigan State University,Biosystems and Agricultural Eng.,East Lansing,U.S.A","Biosystems and Agricultural Eng., Michigan State University, East Lansing, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Biosystems and Agricultural Eng.,East Lansing,U.S.A","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Biosystems and Agricultural Eng., Michigan State University, East Lansing, U.S.A","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066620617","display_name":"A. Pouyan Nejadhashemi","orcid":"https://orcid.org/0000-0002-2502-0193"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Pouyan Nejadhashemi","raw_affiliation_strings":["Michigan State University,Biosystems and Agricultural Eng.,East Lansing,U.S.A","Biosystems and Agricultural Eng., Michigan State University, East Lansing, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Biosystems and Agricultural Eng.,East Lansing,U.S.A","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Biosystems and Agricultural Eng., Michigan State University, East Lansing, U.S.A","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088394271","display_name":"Kalyanmoy Deb","orcid":"https://orcid.org/0000-0001-7402-9939"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kalyanmoy Deb","raw_affiliation_strings":["Michigan State University,Electrical and Computer Eng.,East Lansing,U.S.A","Electrical and Computer Eng., Michigan State University, East Lansing, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,Electrical and Computer Eng.,East Lansing,U.S.A","institution_ids":["https://openalex.org/I87216513"]},{"raw_affiliation_string":"Electrical and Computer Eng., Michigan State University, East Lansing, U.S.A","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011698870","display_name":"Lewis C. Linker","orcid":"https://orcid.org/0000-0002-3456-3659"},"institutions":[{"id":"https://openalex.org/I2801961127","display_name":"Chesapeake Bay Program","ror":"https://ror.org/04x4haa49","country_code":"US","type":"other","lineage":["https://openalex.org/I2801961127"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lewis Linker","raw_affiliation_strings":["Chesapeake Bay Program Office,Environmental Protection Agency,Annapolis,U.S.A","Environmental Protection Agency, Chesapeake Bay Program Office, Annapolis, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chesapeake Bay Program Office,Environmental Protection Agency,Annapolis,U.S.A","institution_ids":["https://openalex.org/I2801961127"]},{"raw_affiliation_string":"Environmental Protection Agency, Chesapeake Bay Program Office, Annapolis, U.S.A","institution_ids":["https://openalex.org/I2801961127"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10969","display_name":"Water resources management and optimization","score":0.9991000294685364,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9969000220298767,"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/T12724","display_name":"Water-Energy-Food Nexus Studies","score":0.967199981212616,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/chesapeake-bay","display_name":"Chesapeake bay","score":0.7583311796188354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6963976621627808},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.6723308563232422},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5882856845855713},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5788207054138184},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5693356990814209},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5653221607208252},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5392796397209167},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.483782023191452},{"id":"https://openalex.org/keywords/watershed","display_name":"Watershed","score":0.4645727872848511},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.46327945590019226},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.45280057191848755},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.35987168550491333},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2848823070526123},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18150192499160767},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1524142324924469},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11522045731544495}],"concepts":[{"id":"https://openalex.org/C2985168408","wikidata":"https://www.wikidata.org/wiki/Q216868","display_name":"Chesapeake bay","level":3,"score":0.7583311796188354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6963976621627808},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.6723308563232422},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5882856845855713},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5788207054138184},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5693356990814209},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5653221607208252},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5392796397209167},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.483782023191452},{"id":"https://openalex.org/C150547873","wikidata":"https://www.wikidata.org/wiki/Q947851","display_name":"Watershed","level":2,"score":0.4645727872848511},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.46327945590019226},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.45280057191848755},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.35987168550491333},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2848823070526123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18150192499160767},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1524142324924469},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11522045731544495},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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},{"id":"https://openalex.org/C88160329","wikidata":"https://www.wikidata.org/wiki/Q47053","display_name":"Estuary","level":2,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec53210.2023.10254161","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cec53210.2023.10254161","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1595498733","https://openalex.org/W1950027562","https://openalex.org/W2000295051","https://openalex.org/W2023867069","https://openalex.org/W2043853017","https://openalex.org/W2084729306","https://openalex.org/W2085507535","https://openalex.org/W2145839659","https://openalex.org/W2729516820","https://openalex.org/W3106710618","https://openalex.org/W3183874208","https://openalex.org/W4292408320","https://openalex.org/W4292864963","https://openalex.org/W4294811644"],"related_works":["https://openalex.org/W1963790170","https://openalex.org/W2073298047","https://openalex.org/W2033790662","https://openalex.org/W2090178682","https://openalex.org/W2586328217","https://openalex.org/W2049264236","https://openalex.org/W2001591765","https://openalex.org/W4241467429","https://openalex.org/W2906115061","https://openalex.org/W2977596624"],"abstract_inverted_index":{"Innovization":[0],"is":[1,216,258],"a":[2,69,116,174,212,219,225,231,287],"task":[3,122],"for":[4,183],"analyzing":[5],"multiple":[6,140],"Pareto-optimal":[7],"solutions":[8,142,193],"obtained":[9],"by":[10,195],"an":[11,49,104],"evolutionary":[12],"multi-objective":[13,119,186],"optimization":[14,98,121,187],"(EMO)":[15],"algorithm":[16,99],"to":[17,26,42,47,64,88,148,166,177,202,230,238,260],"extract":[18,65],"common":[19],"features":[20],"in":[21,61,68,102,129,208,224,241,281],"the":[22,43,62,79,81,90,93,97,108,133,144,149,184,196,204,228,242,247,251,261,277],"decision":[23],"variables,":[24],"leading":[25,176],"design":[27],"rules":[28,83],"or":[29,53,100],"solution":[30,244],"principles.":[31],"The":[32,271],"principles":[33,37,67],"derived":[34],"from":[35],"innovized":[36,66,82],"can":[38,84],"provide":[39],"valuable":[40],"insights":[41],"users":[44],"about":[45],"\u201chow":[46],"create":[48],"optimal":[50],"solution?\u201d.":[51],"Manual":[52],"automated":[54],"machine":[55],"learning-based":[56],"innovization":[57],"methods":[58],"were":[59],"proposed":[60],"literature":[63],"problem.":[70,110],"Although":[71],"different":[72,76],"problems":[73],"may":[74],"demand":[75],"structures":[77],"of":[78,92,96,107,123,191,214,227,246,267,269,279],"rules,":[80],"also":[85],"be":[86,167],"utilized":[87],"improve":[89],"performance":[91],"subsequent":[94],"iterations":[95],"help":[101],"executing":[103],"efficient":[105],"re-optimization":[106,213],"same":[109],"In":[111],"this":[112],"paper,":[113],"we":[114],"consider":[115],"large-scale":[117],"and":[118,126,138,235,275],"complex":[120],"minimizing":[124],"cost":[125],"nitrogen":[127],"loading":[128],"certain":[130],"counties":[131],"within":[132,173],"Chesapeake":[134,155],"Bay":[135],"Watershed":[136],"(CBW)":[137],"find":[139,203],"trade-off":[141,192,243,253],"using":[143],"NSGA-III":[145],"approach":[146],"applied":[147],"CBW's":[150],"real":[151],"evaluator":[152],"tool":[153],"(The":[154],"Assessment":[156],"Scenario":[157],"Tool\u2013CAST).":[158],"205":[159],"Best":[160],"Management":[161],"Practices":[162],"(BMPs)":[163],"are":[164,199,273],"considered":[165],"implemented":[168],"at":[169,286],"each":[170],"land-river":[171],"segment":[172],"county,":[175],"as":[178,180],"many":[179],"65,260":[181],"variables":[182],"resulting":[185,252],"procedure.":[188],"First,":[189],"hundreds":[190],"found":[194,237],"CAST-NSGA-III":[197,215],"procedure":[198],"analyzed":[200],"manually":[201],"top-most":[205],"BMPs":[206,222,257],"used":[207],"them.":[209],"After":[210],"that,":[211],"run":[217,263],"with":[218,255,265],"few":[220],"critical":[221],"(resulting":[223],"decrease":[226],"variable":[229],"range":[232],"between":[233],"3%":[234],"33%)":[236],"commonly":[239],"appear":[240],"set":[245],"previous":[248],"runs.":[249],"Interestingly,":[250],"front":[254],"reduced":[256],"similar":[259],"original":[262],"achieved":[264],"tens":[266],"thousands":[268],"variables.":[270],"findings":[272],"intriguing":[274],"demonstrate":[276],"efficacy":[278],"innovation":[280],"addressing":[282],"intricate,":[283],"real-world":[284],"issues":[285],"significant":[288],"scale.":[289]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}