{"id":"https://openalex.org/W4320031312","doi":"https://doi.org/10.1109/ssci51031.2022.10022119","title":"Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization","display_name":"Worst and Generalized Severity Evaluation for Evolutionary Dynamic Multi-objective Optimization","publication_year":2022,"publication_date":"2022-12-04","ids":{"openalex":"https://openalex.org/W4320031312","doi":"https://doi.org/10.1109/ssci51031.2022.10022119"},"language":"en","primary_location":{"id":"doi:10.1109/ssci51031.2022.10022119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci51031.2022.10022119","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","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":null,"display_name":"Ying Ying Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ying Ying Liu","raw_affiliation_strings":["University of Manitoba,Department of Computer Science,Winnipeg,Canada","Department of Computer Science, University of Manitoba, Winnipeg, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba,Department of Computer Science,Winnipeg,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028631410","display_name":"Parimala Thulasiraman","orcid":"https://orcid.org/0000-0002-6445-3629"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Parimala Thulasiraman","raw_affiliation_strings":["University of Manitoba,Department of Computer Science,Winnipeg,Canada","Department of Computer Science, University of Manitoba, Winnipeg, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manitoba,Department of Computer Science,Winnipeg,Canada","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Department of Computer Science, University of Manitoba, Winnipeg, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060039893","display_name":"Nelishia Pillay","orcid":"https://orcid.org/0000-0003-3902-5582"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]},{"id":"https://openalex.org/I69552723","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84","country_code":"ZA","type":"education","lineage":["https://openalex.org/I69552723"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Nelishia Pillay","raw_affiliation_strings":["University of Pretoria,Department of Computer Science,Gauteng,South Africa","Department of Computer Science, University of Pretoria, Gauteng, South Africa"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pretoria,Department of Computer Science,Gauteng,South Africa","institution_ids":["https://openalex.org/I165390105","https://openalex.org/I69552723"]},{"raw_affiliation_string":"Department of Computer Science, University of Pretoria, Gauteng, South Africa","institution_ids":["https://openalex.org/I69552723"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"1012","last_page":"1020"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9914000034332275,"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/computer-science","display_name":"Computer science","score":0.6926072835922241},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6637576818466187},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6615639925003052},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5471668243408203},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.510576605796814},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4633878171443939},{"id":"https://openalex.org/keywords/premature-convergence","display_name":"Premature convergence","score":0.45284831523895264},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4494832456111908},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4418964385986328},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.43584245443344116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3467959761619568},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.263447642326355},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2630072832107544},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.20050540566444397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18666687607765198}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6926072835922241},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6637576818466187},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6615639925003052},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5471668243408203},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.510576605796814},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4633878171443939},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.45284831523895264},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4494832456111908},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4418964385986328},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.43584245443344116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3467959761619568},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.263447642326355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2630072832107544},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.20050540566444397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18666687607765198},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssci51031.2022.10022119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci51031.2022.10022119","pdf_url":null,"source":{"id":"https://openalex.org/S4363605327","display_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1762245175","display_name":null,"funder_award_id":"138150","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1496765098","https://openalex.org/W1574490530","https://openalex.org/W1604938078","https://openalex.org/W1965856911","https://openalex.org/W2015606203","https://openalex.org/W2041645394","https://openalex.org/W2042103190","https://openalex.org/W2064155562","https://openalex.org/W2072257488","https://openalex.org/W2085136910","https://openalex.org/W2111697972","https://openalex.org/W2140496876","https://openalex.org/W2142844925","https://openalex.org/W2151554678","https://openalex.org/W2165626989","https://openalex.org/W2343489328","https://openalex.org/W2583496274","https://openalex.org/W2588639661","https://openalex.org/W2592652668","https://openalex.org/W2601733549","https://openalex.org/W2974996488","https://openalex.org/W2981722124","https://openalex.org/W3084357507","https://openalex.org/W3099100043","https://openalex.org/W4221135157","https://openalex.org/W4294811593"],"related_works":["https://openalex.org/W2367365720","https://openalex.org/W4361804730","https://openalex.org/W2142113611","https://openalex.org/W2334467465","https://openalex.org/W2018387840","https://openalex.org/W2087870008","https://openalex.org/W2045629210","https://openalex.org/W2162534555","https://openalex.org/W2752178021","https://openalex.org/W2143024819"],"abstract_inverted_index":{"The":[0,47,75],"No":[1],"Free":[2],"Lunch":[3],"(NFL)":[4],"Theorem":[5],"states":[6],"there":[7],"are":[8],"no":[9],"universally":[10],"\u201cbest\u201d":[11],"optimization":[12,18],"algorithms,":[13,84],"including":[14],"evolutionary":[15],"dynamic":[16,162],"multi-objective":[17],"(EDMO)":[19],"algorithms.":[20],"Due":[21],"to":[22,108,126,140,165],"the":[23,30,33,44,60,72,100,128,177,188],"lack":[24],"of":[25,35,43,49,59,131,187],"a":[26,123,142,154,158,184],"universal":[27],"optimizer":[28],"at":[29,71,193],"theoretical":[31],"level,":[32],"performance":[34,115,130],"EDMO":[36,50,79,110],"algorithms":[37,51,111],"rely":[38],"heavily":[39],"on":[40,98,116,157],"experimental":[41],"comparison":[42],"specific":[45],"problem.":[46],"evaluation":[48,145,182],"require":[52],"care":[53],"in":[54,78,82,103],"designing":[55,83],"representative":[56],"test":[57,91],"cases":[58],"problem":[61],"class,":[62],"and":[63,69,88,134,147,171,183],"comprehensive":[64,181],"metrics":[65,87,170],"incorporating":[66],"convergence,":[67,132],"diversity":[68,133],"dynamics":[70],"same":[73],"time.":[74],"literature":[76,101],"review":[77],"reveals":[80],"challenges":[81],"developing":[85,104],"efficient":[86],"producing":[89],"suitable":[90],"cases.":[92],"In":[93],"this":[94,139],"paper,":[95],"we":[96,152],"focus":[97],"addressing":[99],"gap":[102],"more":[105],"robust":[106],"approaches":[107],"evaluating":[109],"that":[112,176],"have":[113],"varying":[114],"different":[117,194],"real-world":[118],"DMOP":[119],"problems.":[120],"We":[121,136],"propose":[122],"new":[124,168],"metric":[125],"measure":[127],"worst-case":[129],"dynamics.":[135],"further":[137],"extend":[138],"formulate":[141],"three-layer":[143],"generalized":[144,149],"framework":[146,179],"two":[148],"metrics.":[150],"Finally,":[151],"perform":[153],"case":[155],"study":[156],"transportation":[159],"application":[160],"with":[161],"traffic":[163],"changes,":[164],"evaluate":[166],"our":[167],"proposed":[169,178],"framework.":[172],"Our":[173],"experiments":[174],"show":[175],"offers":[180],"better":[185],"understanding":[186],"compared":[189],"algorithms'":[190],"relative":[191],"strengths":[192],"levels.":[195]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}