{"id":"https://openalex.org/W4411600569","doi":"https://doi.org/10.1109/cec65147.2025.11043081","title":"Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization","display_name":"Finding Multiple Alternate Solutions Using Evolutionary Multi-Objective Optimization","publication_year":2025,"publication_date":"2025-06-08","ids":{"openalex":"https://openalex.org/W4411600569","doi":"https://doi.org/10.1109/cec65147.2025.11043081"},"language":"en","primary_location":{"id":"doi:10.1109/cec65147.2025.11043081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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/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,East Lansing,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,East Lansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049905796","display_name":"Ritam Guha","orcid":"https://orcid.org/0000-0002-1375-777X"},"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":"Ritam Guha","raw_affiliation_strings":["Michigan State University,East Lansing,MI,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University,East Lansing,MI,USA","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.8761000037193298,"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":0.8761000037193298,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6089765429496765},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.5027344226837158},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4837520122528076},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40501224994659424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3144146800041199},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19980278611183167}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6089765429496765},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.5027344226837158},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4837520122528076},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40501224994659424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3144146800041199},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19980278611183167}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec65147.2025.11043081","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec65147.2025.11043081","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 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":16,"referenced_works":["https://openalex.org/W1833338034","https://openalex.org/W1927597696","https://openalex.org/W2000295051","https://openalex.org/W2014845142","https://openalex.org/W2017780909","https://openalex.org/W2022485595","https://openalex.org/W2075356520","https://openalex.org/W2088500424","https://openalex.org/W2099129608","https://openalex.org/W2103839413","https://openalex.org/W2143381319","https://openalex.org/W4292542951","https://openalex.org/W4387422239","https://openalex.org/W4389041381","https://openalex.org/W4400412105","https://openalex.org/W6678845729"],"related_works":["https://openalex.org/W4297582752","https://openalex.org/W4285805405","https://openalex.org/W2391924736","https://openalex.org/W3133779647","https://openalex.org/W2887328214","https://openalex.org/W1560122427","https://openalex.org/W3041827036","https://openalex.org/W1993493607","https://openalex.org/W2021957875","https://openalex.org/W2802808995"],"abstract_inverted_index":{"In":[0,23,83],"many":[1],"practical":[2,167],"problem-solving":[3,111,132,168],"tasks,":[4,25],"instead":[5],"of":[6,46,90,109,140],"a":[7,37,107,136,161],"single":[8],"desired":[9,42],"solution,":[10],"often":[11],"the":[12,41,44,47,52,88,130],"goal":[13],"is":[14],"to":[15,32,69,101,121,145],"find":[16,33,70,102,146],"multiple":[17,71,103,147],"alternate":[18,104,148],"solutions":[19,73,105],"(optimal":[20],"or":[21,78],"otherwise).":[22],"such":[24],"most":[26],"often,":[27],"numerical":[28],"methods":[29],"are":[30],"employed":[31],"one":[34],"solution":[35,43],"at":[36,123],"time":[38],"by":[39],"making":[40],"focus":[45],"ensuing":[48],"computational":[49,62],"task.":[50],"On":[51],"other":[53],"hand,":[54],"evolutionary":[55],"multi-objective":[56],"optimization":[57],"(EMO)":[58],"algorithms":[59],"\u2013":[60,64],"population-based":[61],"procedures":[63],"have":[65],"demonstrated":[66],"their":[67],"ability":[68],"optimal":[72],"resulting":[74],"from":[75,129],"optimizing":[76],"two":[77,125],"more":[79],"conflicting":[80,126],"objectives":[81],"simultaneously.":[82],"this":[84],"paper,":[85],"we":[86],"highlight":[87],"principles":[89],"an":[91,141],"EMO":[92,143,153],"procedure":[93],"and":[94,134,155,158],"discuss":[95],"how":[96],"it":[97],"can":[98],"be":[99],"extended":[100],"for":[106,164],"number":[108],"different":[110],"tasks":[112],"encountered":[113],"in":[114],"practice.":[115],"This":[116],"\u2018multiobjectivization\u2019":[117],"task":[118,133],"requires":[119],"researchers":[120],"choose":[122],"least":[124],"goals":[127],"arising":[128],"specific":[131],"apply":[135],"suitably":[137],"modified":[138],"version":[139],"existing":[142],"algorithm":[144],"solutions.":[149],"These":[150],"extensions":[151],"broaden":[152],"research":[154],"its":[156],"applications,":[157],"also":[159],"enable":[160],"unified":[162],"approach":[163],"solving":[165],"various":[166],"tasks.":[169]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}